90 Ofertas de Data Lakes en Mexico

**Work Schedule**
Standard (Mon-Fri)
**Environmental Conditions**
Office
**Job Description**
**Job Summary**
We are seeking an experienced and detail-oriented **Data Steward** to drive the execution of enterprise data governance and data quality initiatives. This role operates as an **independent contributor** , responsible for ensuring that data assets are trusted, well-governed, and accessible across the organization.
The Data Steward will **own the governance, lineage, and quality of data assets across the full data lifecycle-from ERP source systems through RAW, consumable, and KPI layers** . Leveraging **data.world** as the enterprise data catalog, this role will ensure strong metadata management, lineage transparency, and data discoverability.
A key focus of this role is to **establish a consistent,** **trusted semantic layer that supports analytics and AI use cases** , ensuring data is clearly defined, standardized, and ready for downstream consumption. The role requires a balance of governance expertise and **hands-on technical capability (SQL and Python)** to validate data, enforce quality, and support metadata and lineage automation.
**Key Responsibilities**
**Data Governance, Lineage & Stewardship**
+ **Own and manage end-to-end data lineage** from **ERP → RAW → consumable → KPI layers** , ensuring traceability, transparency, and alignment with governance standards.
+ Maintain and curate data assets within **data.world** , ensuring datasets are accurately classified, documented, and contextually enriched.
+ **Define, implement, and enforce metadata standards** , including business definitions, lineage, and transformation logic across the data pipeline.
+ Partner with business and technical stakeholders to **identify and steward critical data elements (CDEs)** across all layers.
+ Establish and standardize **business definitions, metrics, and KPIs** , contributing to a governed **semantic layer for analytics and AI** .
+ Improve **data discoverability, lineage visibility, and contextual clarity** to enable trusted data usage.
**Data Quality Management (End-to-End Pipeline)**
+ **Own data quality across the full data pipeline (ERP → RAW → consumable → KPI)** , ensuring consistency, accuracy, and completeness at each stage.
+ Develop and maintain **data quality rules, validations, controls, and scorecards** , aligned to transformation layers.
+ Utilize **SQL and Python scripting** to perform data profiling, validation, reconciliation, and anomaly detection.
+ **Identify, analyze, and lead resolution of data quality issues** , performing root cause analysis across upstream and downstream systems.
+ Collaborate with engineering and business teams to **validate transformation logic and ensure reliability of KPI outputs and AI datasets** .
+ Establish **proactive monitoring and automated checks** to detect and prevent data defects early in the pipeline.
**Data Catalog & Metadata Enablement (data.world)**
+ Serve as a **primary steward of the data.world platform** , ensuring high-quality metadata, lineage mapping, and usability of cataloged assets.
+ Document and maintain **end-to-end lineage relationships within data.world** , connecting ERP sources to downstream datasets and KPI layers.
+ Leverage **data.world APIs and integrations** to support **automation of metadata ingestion, lineage updates, and catalog curation** .
+ Enable **semantic consistency within the data catalog** , ensuring alignment between technical data and business meaning.
+ Drive **adoption of data.world** by enabling self-service data discovery and trusted data usage.
+ Provide **training, guidance, and support** to stakeholders on catalog usage, lineage interpretation, and governance best practices.
**Cross-Functional Collaboration & Influence**
+ Collaborate with business, analytics, data engineering, and AI/ML teams to **align data definitions, transformations, and KPI logic** .
+ Translate business requirements into **governed data models, semantic definitions, and quality controls** .
+ Work independently while influencing stakeholders to **adopt standardized definitions, governance practices, and trusted data sources** .
+ Apply **analytical thinking and domain expertise** to resolve inconsistencies and improve data processes.
+ Maintain comprehensive documentation of **data flows, lineage, semantic definitions, and governance controls** .
+ Contribute to the **continuous improvement and maturity of data governance practices** , particularly in support of AI and advanced analytics.
**Preferred Experience**
+ Hands-on experience with **data.world** or similar modern data catalog platforms.
+ Strong understanding of **data governance frameworks** (e.g., DAMA-DMBOK).
+ Experience managing **data lineage and quality across multi-layered architectures** (ERP, data lakes, transformation layers, KPI/reporting).
+ Experience supporting or building **semantic layers for BI and/or AI use cases** .
+ Proficiency in **SQL and Python for data analysis, profiling, and automation of data quality checks** .
+ Experience working with **APIs or programmatic interfaces** for metadata and catalog automation.
+ Familiarity with **modern data platforms** (Databricks, Redshift, Athena).
+ Experience with **data visualization tools** (e.g., Power BI).
+ Knowledge of **data privacy and regulatory standards** (e.g., GDPR, CCPA).
**Qualifications**
+ Bachelor's degree in computer science, Information Systems, Data Science, or related field.
+ 3+ years of experience in **data stewardship, data governance, or data quality roles** .
+ Demonstrated experience working with **data catalogs, metadata management, and lineage** .
+ Strong problem-solving skills with the ability to **work independently and manage moderately complex data challenges** .
+ Excellent communication and stakeholder management skills, with the ability to **influence and drive adoption of governance practices** .
+ Comfortable working **hands-on with data using SQL and Python** to validate data, enforce quality rules, and support governance processes.
**What Success Looks Like**
+ Trusted, well-documented data assets across **ERP → KPI pipeline**
+ High adoption and effective use of **data.world**
+ Consistent and governed **business definitions and semantic layer**
+ Measurable improvements in **data quality KPIs**
+ Reliable, **AI-ready datasets** supporting analytics and decision-making
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

**Who We Are**
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.
**The Role**
Are you ready to dive headfirst into the captivating world of data engineering at Kyndryl? As a Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role? Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips.
As a Data Engineer at Kyndryl, you'll be at the forefront of the data revolution, crafting and shaping data platforms that power our organization's success. This role is not just about code and databases; it's about transforming raw data into actionable insights that drive strategic decisions and innovation.
In this role, you'll be engineering the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets. With a well-defined methodology, critical thinking, and a rich blend of domain expertise, consulting finesse, and software engineering prowess, you'll be the mastermind of data transformation.
Your journey begins by understanding project objectives and requirements from a business perspective, converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. But it doesn't stop there. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset-a true data alchemist.
Armed with a keen eye for detail, you'll scrutinize data solutions, ensuring they align with business and technical requirements. Your work isn't just a means to an end; it's the foundation upon which data-driven decisions are made - and your lifecycle management expertise will ensure our data remains fresh and impactful.
So, if you're a technical enthusiast with a passion for data, we invite you to join us in the exhilarating world of data engineering at Kyndryl. Let's transform data into a compelling story of innovation and growth.
**Your Future at Kyndryl**
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**Who You Are**
**Who You Are**
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
**Required Skills and Experience**
+ 5+ years of experience in data engineering or related roles.
+ Strong experience with SQL and data modeling techniques.
+ Hands‑on experience designing and developing ETL/ELT processes.
+ Proficiency in Python or Scala for data processing.
+ Experience working with relational and/or NoSQL databases.
+ Familiarity with Git for version control and collaboration.
+ Exposure to CI/CD pipelines for deploying and managing data processes.
**Preferred Skills and Experience**
+ Experience working within the financial services or banking sector.
+ Experience with cloud‑based data platforms such as Snowflake, BigQuery, or Redshift.
+ Familiarity with orchestration tools such as Apache Airflow.
+ Exposure to distributed processing frameworks such as Apache Spark.
+ Knowledge of data governance, data quality, and lineage practices.
+ Basic English proficiency for technical documentation and collaboration with global teams.
**Being You**
The "Kyn" in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don't meet every requirement, we encourage you to apply. We believe in growth, and we're excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging - being a valued, respected, trusted member of the team - is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That's The Kyndryl Way.
**What You Can Expect**
Your career with us isn't just a job-it's an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health-because we know that when you feel your best, you do your best.
From your very first day, you'll dive into impactful work that powers the systems our customers rely on every day. You won't just contribute-you'll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
We're here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you'll have everything you need to thrive and evolve. You'll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities-from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you'll be part of a culture that values empathy, restless learning, and a devotion to shared success.
We want you to thrive here-and we're committed to helping you do just that. Ready to make an impact? Join us and help shape what's next.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

At Cognizant we have an ideal opportunity for you to be part of one of the largest companies in the digital sector worldwide. A Great Place To Work where we look for people who contribute new ideas, experiencing a dynamic and growing environment. At Cognizant we promote an inclusive culture, where we value different perspectives providing career growth and development opportunities. #WelcomeToCognizant!
This role will perform end-to-end **ETL validation** across Source → Staging → Target layers to ensure data consistency and completeness
Qualifications:
*Develop and execute advanced **SQL queries** for validation:
o Complex joins (multi-table)
o Aggregations and window functions
o Subqueries, CTEs
*Experience with performing **BigQuery** /GCP-specific validation
* **ETL Testing** in Cloud Environment
*Experience with **Reporting & BI Validation**
ADVANCED ENGLISH IS A MUST
Hybrid role in Guadalajara.
Why Cognizant?
Improve your career in one of the largest and fastest growing IT services providers worldwide
Receive ongoing support and funding with training and development plans
Have a highly competitive benefits and salary package
Get the opportunity to work for leading global companies
We are committed to respecting human rights and build a better future by helping your minds and the environment
We invest in people and their wellbeing.
We create conditions for everyone to thrive. We do not discriminate based on race, religion, color, sex, age, disability, nationality, sexual orientation, gender identity or expression, or for any other reason covered.
At Cognizant we believe than our culture make us stronger!
Join us now!
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

**About Us**
We are a global climate technologies company engineered for sustainability. We create sustainable and efficient residential, commercial and industrial spaces through HVACR technologies. We protect temperature-sensitive goods throughout the cold chain. And we bring comfort to people globally. Best-in-class engineering, design and manufacturing combined with category-leading brands in compression, controls, software and monitoring solutions result in next-generation climate technology that is built for the needs of the world ahead. 
We are a sustainable company engaged to the values of Excellence, Innovation, Collaboration, Respect and Responsibility. We seek professionals who share our vision of creating sustainable solutions that improve lives and protect the planet, today and for future generations.
We are looking for your talent, join our team and start your journey today!
**Responsabilidades:**
**Asegurar la extracción, integración y calidad de datos provenientes de controladores paramétricos, sistemas HVAC, refrigeración y plataformas IoT.**
**Desarrollar, documentar y mantener scripts en Python u otros lenguajes para automatizar procesos de análisis y carga de datos.**
**Administrar y estructurar datos en bases SQL, garantizando consistencia, seguridad y disponibilidad.**
**Generar reportes, tableros y analíticos que permitan evaluar desempeño, ahorrar energía y soportar estrategias de mantenimiento.**
**Extraer y transformar datos provenientes de controladores HVAC, refrigeración u otros sistemas automatizados.**
**Desarrollar y mantener scripts o rutinas en Python, R u otros lenguajes para limpieza, normalización y estructuración de datos.**
**Integrar y administrar la información en bases de datos SQL, asegurando la calidad, consistencia e integridad de los registros.**
**Diseñar dashboards, reportes y modelos analíticos en Power BI o herramientas equivalentes que soporten la toma de decisiones.**
**Analizar tendencias de consumo, alarmas y desempeño para identificar oportunidades de ahorro energético y mantenimiento preventivo.**
**Apoyar en la validación de estrategias de control y en la evaluación de resultados mediante indicadores cuantitativos.**
**Colaborar con el equipo de Soluciones Digitales en la automatización de flujos de datos y optimización de procesos analíticos.**
**Versionar, documentar y mantener el código fuente en repositorios GitHub conforme a las buenas prácticas de desarrollo colaborativo.**
**Apoyar en la implementación de soluciones de integración de datos en la nube y plataformas IoT para el monitoreo remoto de equipos.**
**Garantizar la confidencialidad, trazabilidad y resguardo seguro de la información procesada.**
**Requisitos:**
**Fundamentos sólidos de programación (preferentemente Python).**
**Conocimiento básico-intermedio en estructuras de datos y lógica de procesamiento.**
**Manejo general de bases de datos relacionales (SQL) y comprensión del modelo entidad-relación.**
**Comprensión de conceptos de analítica de datos: limpieza, normalización, modelado y visualización.**
**Manejo general de herramientas de visualización (Power BI, Tableau,u otras).**
**Conocimientos de sistemas de control y automatización, preferentemente controladores paramétricos, cascada o BMS (deseable).**
**Nociones de IoT, telemetría, protocolos de comunicación (BACnet, Modbus, MQTT deseable).**
**Conocimientos básicos sobre nube (AWS, Azure o GCP): almacenamiento, funciones, bases de datos, APIs, etc.**
**Uso de herramientas de control de versiones, principalmente Git y GitHub.**
**Comprensión de conceptos de ciberseguridad básica en el manejo e intercambio de datos.**
**Nociones de estadística aplicada para análisis de tendencias y cálculos de eficiencia o ahorro.**
**Familiaridad con la elaboración de reportes técnicos y documentación de procesos.**
**Our Commitment to Our People**
Across the globe, we are united by a singular Purpose: Sustainability is no small ambition. That's why everything we do is geared toward a sustainable future-for our generation and all those to come. Through groundbreaking innovations, HVACR technology and cold chain solutions, we are reducing carbon emissions and improving energy efficiency in spaces of all sizes, from residential to commercial to industrial.
Our employees are our greatest strength. We believe that our culture of passion, openness, and collaboration empowers us to work toward the same goal - to make the world a better place. We invest in the end-to-end development of our people, beginning at onboarding and through senior leadership, so they can thrive personally and professionally.
Together, we have the opportunity - and the power - to continue to revolutionize the technology behind air conditioning, heating and refrigeration, and cultivate a better future. Learn more about us and how you can join our team!
**Our Commitment to Inclusion & Belonging**
At Copeland, we cultivate a strong sense of inclusion and belonging where individuals of all backgrounds, and with diverse perspectives, are embraced and treated fairly to enable a stronger workforce. Our employee resource groups play an important role in culture and community building at Copeland.
**Equal Opportunity Employer**
Copeland is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, or disability. We are committed to providing a workplace free of any discrimination or harassment.
**No calls or agency requests please.**
With $5B of global revenue, Copeland is a leading provider of compression products, electronics, software, and solutions across many applications within Heating, Ventilation, Air Conditioning, and Refrigeration (HVACR), where macro and regulatory trends towards environmental sustainability, leads to changes in HVACR technology. Other products include other heating applications, food service and retail, transportation, and healthcare/life sciences. This new business also has a solution portfolio that manages, monitors, and controls refrigeration units in the commercial setting, as well as software solutions that measure and monitor temperature conditions of refrigerated goods in transit, where there is a greater emphasis on energy management/sustainability solutions globally.

Data Engineer
**Date:** Jul 10, 2026
**Location:** Obispado, NLE, MX, 64060
**Company:** Corning
Are you ready to build data solutions that improve manufacturing performance and enable the next generation of AI and machine learning?
Join Corning's Optical Communications team and help transform complex manufacturing and operational data into reliable, scalable, and trusted data products that support faster decisions, greater production visibility, and business innovation.
**What is your role?**
As a Data Engineer, you will build, maintain, and support data pipelines and cloud-based data solutions for Corning's manufacturing and operational environments.
You will collaborate with manufacturing teams, analysts, data scientists, and technology partners to deliver clean and reliable data for reporting, analytics, operational decision-making, and AI/ML applications.
This position is ideal for a hands-on Data Engineer who has strong Python and SQL fundamentals and is interested in growing within modern data platforms, manufacturing data, and AI-enabled solutions.
**Major responsibilities and tasks of the position:**
- Build, test, and support reliable ETL/ELT pipelines that ingest, transform, and deliver manufacturing, operational, and business data.
- Develop clean and production-ready datasets for reporting, analytics, manufacturing visibility, and AI/ML applications.
- Implement automated data-quality checks, validation rules, monitoring, and troubleshooting processes to improve data reliability.
- Support cloud data-platform operations, pipeline performance, documentation, and continuous improvement initiatives.
- Partner with manufacturing, analytics, IT, and business stakeholders to understand data needs and deliver scalable solutions.
**What do you need to have?**
- Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or another related technical discipline.
- At least 1 year of experience in data engineering, data integration, ETL/ELT development, analytics engineering, or a related data-focused role.
- At least 2 years of programming experience using Python, including the ability to write clean, maintainable, and testable code.- Strong SQL skills and experience working with relational databases, data modeling, and data transformations.
- Hands-on experience building or supporting data pipelines using Apache Spark, PySpark, SparkSQL, or comparable distributed data-processing technologies.
- Hands-on experience with Databricks or Snowflake.
- Experience working with manufacturing, production, industrial, operational, equipment, quality, or supply-chain data.
- Experience with a cloud platform such as AWS, Azure, or Google Cloud. AWS experience is preferred.
- Strong communication and collaboration skills, with the ability to work with technical and non-technical stakeholders.
**What would be helpful?**
- Experience with data-quality automation, data observability, or automated monitoring.- Exposure to AI/ML data pipelines, model-training data preparation, intelligent automation, or AI-enabled data workflows.
- Experience with Kafka, Flink, or other streaming technologies.
- Experience with time-series data, sensor data, industrial IoT, or operational technology data.- Familiarity with Airflow, Dagster, Prefect, PI Integrator, Camstar, Maximo, Microsoft SQL Server, or PostgreSQL.
**What do we offer?**
- A hybrid role based in Monterrey or Reynosa, Mexico.
- The opportunity to work with modern cloud data platforms, manufacturing data, analytics, and AI/ML-enabled technologies.
- Mentorship and technical development opportunities within an expanding Data Engineering organization.
- Career-growth opportunities in Data Engineering, technical subject-matter expertise, AI/ML, or future technical leadership.
- Exposure to global manufacturing, technology, analytics, and business teams.- Competitive compensation and benefits.
**More about us**
Corning is one of the world's leading innovators in glass, ceramic, and materials science. Our technologies help connect the world, advance communications, transform industries, and support products that improve everyday life.
Our Optical Communications business provides industry-leading fiber, cable, connectivity, and optical-network solutions used by businesses, governments, service providers, and individuals around the world.
Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodation to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment.To submit a request for reasonable accommodations related to disability or religion, please contact us at
Canada (iBwave) remove as needed:
We are committed to supporting your health, financial, career development, and life goals as you grow professionally and personally to achieve your highest potential. All benefits begin as soon as you start your career at Corning.
+ Our monetary peer-to-peer recognition program is tied to ourand celebrates you and your colleagues' contributions.
+ Health and well-being benefits include medical, extended health care, dental and vision as from your first day of work.
+ You are eligible to participate in the Corning Optical Communications LLC Retirement and Savings Plan on your first day of work.
+ RRSP with 100% match, up to 5% of your earnings,
+ The company will contribute 2.5% of your eligible pay each year to the DPSP account.
+ Long-Team disability benefit
+ Professional development programs help you grow and achieve your career goals.
China (benefits) remove as needed:
**A job that shapes a life.**
**Corning offers you the total package.**
Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.
+ Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
+ As part of our commitment to your financial well-being, we provide a supplemental pension benefit to grow your wealth for retirement. In addition, we offer a supplemental housing fund to relieve your financial burden in owning a house.
+ Our health and wellness benefits include competitive paid sick leave plan, company-paid life insurance, AD&D (Accidental Death & Dismemberment) insurance, medical coverage for you and your children, paid time off, as well as an Employee Assistance Program (EAP) designed to support both you and your family.
+ Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That's why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions.
France (benefits) remove as needed:
**A job that shapes a life.**
**Corning offers you the total package.**
Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.
+ Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
+ As part of our commitment to your financial well-being, we provide access to a savings plan.
+ Our health and well-being benefits include medical, dental, vision, life insurance, disability insurance, paid time off, and an Employee Assistance Program to support you and your family.
+ Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That's why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions.
Germany (benefits) remove as needed:
**A job that shapes a life.**
**Corning offers you the total package.**
Your well-being is our top priority. Our Compensation & Benefits package supports your health and well-being, your financial goals, and your career-from day one.
+ Company-wide bonuses and long-term incentive programs are linked to key business results, ensuring you're rewarded when the company succeeds. When Corning wins, we all win.
+ Our health and well-being benefits include company-funded retirement plan, paid leave, and an Employee Assistance Program (EAP) to support you and your family.
+ Getting paid for our work is important, but feeling valued and recognized motivates us even more. That's why Corning offers a recognition program to celebrate achievements and recognize colleagues who deliver exceptional performance.
Mexico (benefits) remove as needed:
**A job that shapes a life.**
**Corning offers you the total package.**
Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.
+ Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
+ As part of our commitment to your financial well-being and in addition to full Mexico statutory benefits, we offer food coupons that ease daily costs, and a structured savings fund to support your long-term financial goals.
+ Salaried employees are eligible for comprehensive medical and dental coverage. Additionally, all employees are covered by company-sponsored life insurance, total permanent disability protection, paid time off, and have access to our Employee Assistance Program to support you and your family.
+ Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That's why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions.
Poland (benefits) remove as needed:
**A job that shapes a life.**
**Corning offers you the total package.**
Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.
+ Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
+ As part of our commitment to your financial well-being, we provide a pension benefit that grows throughout your career.
+ Our health and well-being benefits include medical, multi-sport card, company-paid life insurance, paid time off, and an Employee Assistance Program to support you and your family.
+ Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That's why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions.
Taiwan (benefits) remove as needed:
**A job that shapes a life.**
**Corning offers you the total package.**
Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.
+ Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
+ As part of our commitment to your financial well-being, we offer a supplemental pension plan on top of the government pension scheme to grow your retirement savings.
+ Our health and wellness benefits include a Flexible Spending Account program, competitive paid leave plans, company-paid life insurance, AD&D (Accidental Death & Dismemberment) insurance, medical coverage for you and your dependents, as well as an Employee Assistance Program (EAP) designed to support both you and your family.
+ Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That's why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions.
Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection.
As a Data Engineer on the SCC team, you will have ownership over the data modeling and pipelines that power SCC's Associate and AI Agent Platform . Your efforts will be critical to the reliability of our pipelines, execution of third party data integrations, accurate reporting of agents performance, and efficiency improvements that can save millions of dollars / year. You will work cross-functionally to bridge Lyft's business goals with data engineering. Your efforts will allow access to business and user behavior insights, using huge amounts of Lyft data to fuel several teams such as Analytics, Data Science, Engineering, and many others.
**Responsibilities:**
+ Owner of the core data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
+ Evolve data model and data schema based on business and engineering needs
+ Implement systems tracking data quality and consistency
+ Develop tools supporting self-service data pipeline management (ETL)
+ SQL and MapReduce job tuning to improve data processing performance
+ Write well-crafted, well-tested, readable, maintainable code
+ Participate in code reviews to ensure code quality and distribute knowledge
+ Collaborate cross-functionally with product, engineering, data science, and marketing teams to understand business problems and align on prioritization and solutions
**Experience:**
+ 4+ years of professional experience in data engineering, ideally with large-scale distributed systems.
+ Strong experience with Spark
+ Experience with Hadoop (or similar) Ecosystem, S3, DynamoDB, MapReduce, Yarn, HDFS, Hive, Spark, Presto, Pig, HBase, Parquet
+ Strong skills in a scripting language (Python, Go)
+ Good understanding of SQL Engine and able to conduct advanced performance tuning
+ Proficient in at least one of the SQL languages (SparkSQL, Trino)
+ 1+ years of experience with workflow management tools (Airflow)
+ Comfortable working directly with data analytics to bridge Lyft's business goals with data engineering
+ Preferred to have experience of building and maintaining customer care related data tables as a Data Engineer for large organizations
Please submit your resume in English.

Sr. Data Engineer
**Date:** Jul 10, 2026
**Location:** Obispado, NLE, MX, 64060
**Company:** Corning
Are you ready to take ownership of complex data solutions and help shape the future of manufacturing analytics, artificial intelligence, and data-driven decision-making?
Join Corning's Optical Communications team and help build scalable, reliable, and high-quality data products that support manufacturing, operations, analytics, and AI/ML applications across a global organization.
**What is your role?**
As a Senior Data Engineer, you will design, build, optimize, and maintain scalable data pipelines, curated datasets, and cloud-based data solutions supporting Corning's manufacturing and operational environments.
You will independently lead complex Data Engineering initiatives, collaborate with technical and business stakeholders, and provide guidance to other engineers through mentoring, code reviews, and knowledge sharing.Major responsibilities and tasks of the position:
- Design, build, optimize, and maintain scalable ETL/ELT pipelines and data solutions for batch and near-real-time use cases.
- Develop reliable, production-ready datasets that support manufacturing visibility, operational decision-making, analytics, reporting, and AI/ML applications.
- Implement automated data-quality checks, monitoring, observability, and validation processes to improve data reliability and reduce production issues.
- Lead the technical delivery of complex Data Engineering projects, including solution design, development, testing, deployment, troubleshooting, and continuous improvement.
- Collaborate with manufacturing teams, analysts, data scientists, product owners, architects, application teams, and business stakeholders.
- Mentor Data Engineers through code reviews, technical guidance, troubleshooting support, and engineering best practices.
**What do you need to have?**
- Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or another related technical discipline.
- At least 3 years of experience in Data Engineering or a related data-focused role, including designing, building, maintaining, or supporting production data pipelines.
- At least 2 years of hands-on professional experience using Python and building data pipelines in a production environment.
- Strong hands-on experience with Apache Spark, PySpark, SparkSQL, or comparable distributed data-processing technologies.
- Advanced SQL skills and experience with data modeling, relational databases, data warehouses, data lakes, or lakehouse environments.
- Experience working with manufacturing, production, industrial, operational, equipment, quality, or supply-chain data.
- Experience with cloud-based data platforms using AWS, Azure, or Google Cloud. AWS experience is strongly preferred.
- Experience leading technical projects or independently owning complex Data Engineering initiatives.- Strong communication and collaboration skills, with the ability to explain technical solutions and architecture decisions to technical and non-technical stakeholders.
**What would be helpful?**
- Experience with Databricks, Snowflake, Delta Lake, Parquet, Iceberg, PostgreSQL, MySQL, or Microsoft SQL Server.- Experience with Kafka, Flink, or other real-time and streaming technologies.- Experience with Airflow, Dagster, Prefect, or another data orchestration platform.- Exposure to AI/ML data pipelines, Large Language Models, AI agents, intelligent automation, or AI-enabled data-quality solutions.- Experience with time-series data, sensor data, industrial IoT, or operational technology systems.- Familiarity with PI Integrator, Camstar, Maximo, LangChain, LlamaIndex, or Semantic Kernel.
**What do we offer?**
- A hybrid role based in Monterrey or Reynosa, Mexico.- The opportunity to lead technically challenging Data Engineering projects with direct impact on manufacturing and business operations.- Exposure to modern cloud platforms, distributed data processing, AI/ML-enabled solutions, and intelligent data-quality technologies.- Career-growth opportunities in Data Engineering subject-matter expertise, AI/ML specialization, technical leadership, or future people management.- Opportunities to mentor other engineers and influence Data Engineering standards and best practices.- Collaboration with global manufacturing, technology, analytics, and business teams.- Competitive compensation and benefits.
**More about us** Corning is one of the world's leading innovators in glass, ceramic, and materials science. Our technologies help connect the world, advance communications, transform industries, and support products that improve everyday life.
Our Optical Communications business provides industry-leading fiber, cable, connectivity, and optical-network solutions used by businesses, governments, service providers, and individuals around the world.
Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodation to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment.To submit a request for reasonable accommodations related to disability or religion, please contact us at

Lead Data Engineer
**Date:** Jul 10, 2026
**Location:** Obispado, NLE, MX, 64060
**Company:** Corning
Are you ready to define the technical direction of a growing Data Engineering organization while remaining hands-on with modern cloud, manufacturing, and AI-enabled data solutions?
Join Corning's Optical Communications team and help shape scalable data platforms that support manufacturing, operations, analytics, reporting, and AI/ML initiatives across a global organization.
What is your role?
As a Lead Data Engineer, you will serve as a senior individual contributor responsible for defining technical direction, leading complex Data Engineering initiatives, and building scalable, reliable, and cost-effective data solutions.
You will remain hands-on with data pipelines, Python, SQL, cloud technologies, and distributed data processing while also influencing architecture, engineering standards, data quality, governance, and platform strategy.
This position does not currently have direct reports. Leadership will be demonstrated through technical expertise, project ownership, mentoring, and cross-functional influence.
**Major responsibilities and tasks of the position:**
- Define and evolve scalable data architectures, platforms, pipelines, and curated data products that support manufacturing, analytics, reporting, and AI/ML applications.
- Lead the design, development, optimization, and delivery of complex ETL/ELT pipelines and distributed data-processing solutions.
- Establish and promote Data Engineering standards, development patterns, data-quality frameworks, observability practices, documentation, and platform governance.
- Provide technical leadership across projects and teams through architecture reviews, mentoring, troubleshooting, code reviews, and cross-functional collaboration.
- Partner with manufacturing, analytics, Decision Intelligence, IT, architecture, application, and business teams to align data solutions with strategic priorities.
**What do you need to have?**
- Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or another related technical discipline.
- At least 5 years of experience in Data Engineering, including designing, building, optimizing, and maintaining production data pipelines, data warehouses, data lakes, or lakehouse environments.
- At least 5 years of professional programming experience using Python, with the ability to write clean, testable, maintainable, and scalable code.
- Strong hands-on experience building data pipelines and working with Apache Spark, PySpark, SparkSQL, or comparable distributed data-processing technologies.
- Experience working with manufacturing, production, industrial, operational, equipment, quality, supply-chain, sensor, or time-series data.
- Demonstrated technical leadership, including leading projects, defining architecture or engineering standards, mentoring engineers, and influencing technical decisions.
- Advanced SQL, data modeling, and database experience across relational databases, data warehouses, data lakes, or modern cloud data platforms.
- Cloud-platform experience using AWS, Azure, or Google Cloud. AWS experience is strongly preferred.
- Strong communication skills, with the ability to explain technical strategies and architecture decisions to technical teams, business stakeholders, and senior leaders.
**What would be helpful?**
- Experience with Databricks, Snowflake, Delta Lake, Parquet, Iceberg, PostgreSQL, MySQL, Oracle, or Microsoft SQL Server.
- Experience with Kafka, Flink, or other streaming and near-real-time data technologies.
- Experience with Airflow, Dagster, Prefect, or another workflow-orchestration platform.
- Exposure to AI/ML data pipelines, Large Language Models, AI agents, intelligent data observability, or AI-enabled data-quality solutions.
- Familiarity with LangChain, LlamaIndex, Semantic Kernel, or prompt-engineering practices.
- Experience with industrial IoT, operational technology systems, PI Integrator, Camstar, or Maximo.
- Experience with infrastructure-as-code technologies such as Terraform or CloudFormation.
- Experience with Informatica, MuleSoft, SSIS, or other enterprise data-integration tools.
**What do we offer?**
- A hybrid role based in Monterrey or Reynosa, Mexico.
- The opportunity to define technical direction while remaining hands-on with Data Engineering delivery.
- Direct influence over data architecture, platform strategy, engineering standards, and data-quality practices.
- Exposure to modern cloud platforms, distributed processing, manufacturing data, AI/ML, and intelligent automation.
- The opportunity to mentor Data Engineers and Senior Data Engineers and help build the next generation of technical leaders.
- Career-growth opportunities in Data Engineering subject-matter expertise, AI/ML specialization, enterprise architecture, or future technical management.
- Collaboration with global manufacturing, technology, analytics, and business teams.
- Competitive compensation and benefits.
**More about us**
Corning is one of the world's leading innovators in glass, ceramic, and materials science. Our technologies help connect the world, advance communications, transform industries, and support products that improve everyday life.
Our Optical Communications business provides industry-leading fiber, cable, connectivity, and optical-network solutions used by businesses, governments, service providers, and individuals around the world.
Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodation to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment.To submit a request for reasonable accommodations related to disability or religion, please contact us at

About PRGX Global, Inc Job Description
Job TitleSr Data Scientist
Employment Type
Full time
Work Authorization Requirements
Authorized to work in Mexico City without sponsorship
Language Requirements
Fluent English
About PRGX
PRGX is the global leader in source-to-pay data analytics and software, and tech-enabled profit recovery services. We provide software and services to maximize revenue recovery and drive margin improvement for our clients. For more information about PRGX, visit Duties & Responsibilities
- Design, develop, and deploy generative AI models for various applications with a focus on text generation and sematic entity extraction.
- Collaborate with stakeholders to identify business needs, define project scopes, and establish data-driven solutions.
- Mentor junior data scientists/interns, providing guidance on best practices and industry standards.
- Stay up to date with the latest research and advancements in Generative AI and related fields.
- Collaborate with other teams, such as engineering and product management, to integrate models into production environments.
- Establish and maintain documentation for models, algorithms, and processes.
- Ensure all projects meet quality, performance, and security standards.
- Communicate complex concepts and findings effectively to both technical and non-technical audiences.
Knowledge & Qualifications
+ Master's degree in Computer Science, Statistics, Mathematics, or a related field required.
+ Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer, with experience in deploying Generative AI based solutions in production.
+ Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation (RAG), Fine tuning LLMs, Prompt tuning, Graph RAGs, Knowledge graphs, etc.
+ Strong background in machine learning, deep learning, and probabilistic modeling.
+ Proficiency in modern data science tools and frameworks, such as PyTorch, Tensorflow, JAX, Scikit-learn, and Keras.
+ Experience designing and implementing large-scale data pipelines and processing systems.
+ Experience working with server-side frameworks like FastAPI as well as API development, documentation, and versioning.
+ Familiarity with cloud platforms (AWS, GCP, or Azure), CI/CD tools (Jenkins) and containerization technologies (Docker, Kubernetes).
+ Strong programming skills in Python and experience working with version control systems (Git).
+ Excellent communication and teamwork skills.
+ Experience mentoring junior colleagues and interns
Our Commitment to Equal Opportunity
PRGX is an equal opportunity employer. We comply with all applicable local, national, and international laws regarding non-discrimination and equal employment. We do not discriminate based on any legally protected characteristic and are committed to fostering an inclusive, respectful, and equitable workplace. Reasonable accommodations are available for qualified individuals in accordance with local laws and best practices.
Physical Requirements
Ability to sit or stand for extended periods of time, manual dexterity for typing, writing, or using office equipment, visual acuity for reading screens and documents, ability to lift or carry light items such as laptops, and speech and hearing ability for calls, virtual meetings, and in-person communication
Data Privacy
Your personal data will be handled in accordance with applicable data protection laws. We only collect information necessary for recruitment and will not share your data without your consent.
Skills & Requirements Qualifications
+
PRGX provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetic information, Protected Veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.