MexicoCy, CD-Plaza Polanco, Ciudad de Mexico, Mexico
Live, first seen by us 1 day agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Integrate lab and manufacturing systems such as LIMS, OSI-PI and ELN
Build SQL queries and data pipelines for aggregation in Databricks
Build curated, reusable gold tables from heterogeneous CMC data sources
Design dashboarding apps that turn process data into insights
Contextualize data across experiments, processes, samples and materials
integrate multiple laboratory and manufacturing systems like LIMS, OSI-PI, ELN, etc...
Develop and deploy efficient SQL queries and data pipelines for aggregation and transformation within cloud data platforms like Databricks
Build curated, trusted, and reusable gold tables from heterogeneous CMC data sources
Design and implement user-friendly visualization and dashboarding apps that translate complex process and analytical data into actionable scientific and business insights.
Contextualize data across experiments, processes, samples, materials, methods, and metadata
+4 years of experience as Data Engineer
Strong proficiency in Python and SQL
Experience with cloud platforms like Databricks or AWS
Familiarity with deploying applications and data workflows to cloud platforms.
ADVANCED ENGLISH IS A MUST
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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! Qualifications: • +4 years of experience as Data Engineer • Strong proficiency in Python and SQL • Experience with cloud platforms like Databricks or AWS • Familiarity with deploying applications and data workflows to cloud platforms. • Experience with dashboarding and visualization tools such as Power BI, Spotfire, Tableau, Dash, or Streamlit. ADVANCED ENGLISH IS A MUST Hybrid role in CDMX
ADVANCED ENGLISH IS A MUST Hybrid role in CDMX Key Responsibilities • Platforms Integration: integrate multiple laboratory and manufacturing systems like LIMS, OSI-PI, ELN, etc... to create a reusable and scalable CMC data infrastructure • Data Aggregation & Pipeline Development: Develop and deploy efficient SQL queries and data pipelines for aggregation and transformation within cloud data platforms like Databricks. • Gold Table Development: Build curated, trusted, and reusable gold tables from heterogeneous CMC data sources to enable reliable analytics, reporting, modeling, and decision-making. • Visualization & Dashboarding Applications: Design and implement user-friendly visualization and dashboarding apps that translate complex process and analytical data into actionable scientific and business insights.
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Yes. We’ve followed 16 other Data Engineer jobs there since May 2026. All 16 are still up.
Large employers often post one title for several teams, so these can be separate openings.
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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!
Qualifications:
• +4 years of experience as Data Engineer
• Strong proficiency in Python and SQL
• Experience with cloud platforms like Databricks or AWS
• Familiarity with deploying applications and data workflows to cloud platforms.
• Experience with dashboarding and visualization tools such as Power BI, Spotfire, Tableau, Dash, or Streamlit.
ADVANCED ENGLISH IS A MUST
Hybrid role in CDMX
Key Responsibilities
• Platforms Integration: integrate multiple laboratory and manufacturing systems like LIMS, OSI-PI, ELN, etc... to create a reusable and scalable CMC data infrastructure
• Data Aggregation & Pipeline Development: Develop and deploy efficient SQL queries and data pipelines for aggregation and transformation within cloud data platforms like Databricks.
• Gold Table Development: Build curated, trusted, and reusable gold tables from heterogeneous CMC data sources to enable reliable analytics, reporting, modeling, and decision-making.
• Visualization & Dashboarding Applications: Design and implement user-friendly visualization and dashboarding apps that translate complex process and analytical data into actionable scientific and business insights.
• Data Contextualization: Contextualize data across experiments, processes, samples, materials, methods, and metadata to improve traceability, interoperability, and downstream use in advanced analytics and modeling.
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!
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MexicoCy, CD-Plaza Polanco, Ciudad de Mexico, Mexico
Qualifications: • +4 years of experience as Data Engineer • Strong proficiency in Python and SQL • Experience with cloud platforms like Databricks or AWS • Familiarity with deploying applications and data workflows to cloud platforms. • Experience with dashboarding and visualization tools such as Power BI, Spotfire, Tableau, Dash, or Streamlit. ADVANCED ENGLISH IS A MUST Hybrid role in CDMX Key Responsibilities • Platforms Integration: integrate multiple laboratory and manufacturing systems like LIMS, OSI-PI, ELN, etc... to create a reusable and scalable CMC data infrastructure • Data Aggregation & Pipeline Development: Develop and deploy efficient SQL queries and data pipelines for aggregation and transformation within cloud data platforms like Databricks. • Gold Table Development: Build curated, trusted, and reusable gold tables from heterogeneous CMC data sources to enable reliable analytics, reporting, modeling, and decision-making.
No clear work-authorization passage found. Eligibility is unconfirmed.