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Data Engineer - Databricks (Remote, México)
Aguascalientes, MX
Actively hiring, first seen by us 20 hours ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingYou will collaborate with cross-functional teams to deliver reliable, high-quality data products that support business and technology needs.
Work on meaningful projects that use technology to solve real-world challenges.
Design, develop, and maintain scalable ETL/ELT data pipelines using Python and Databricks.
From the employer’s posting
Your role As a Data Engineer, you will design, develop, and maintain scalable data solutions leveraging modern data engineering practices and platforms. You will collaborate with cross-functional teams to deliver reliable, high-quality data products that support business and technology needs. Design, develop, and maintain scalable ETL/ELT data pipelines using Python and Databricks.
What you will love Work on meaningful projects that use technology to solve real-world challenges. Access continuous learning through internal academies, certifications, and mentorship.
As a Data Engineer, you will design, develop, and maintain scalable data solutions leveraging modern data engineering practices and platforms. You will collaborate with cross-functional teams to deliver reliable, high-quality data products that support business and technology needs. Design, develop, and maintain scalable ETL/ELT data pipelines using Python and Databricks. Develop data processing and transformation solutions using Spark and PySpark.
About Capgemini Service SAS
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 14, 2026today
- Recorded sightings
- 2
- Last seen by us
- Nov 15, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Capgemini Service SAS is hiring
284 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Databricks
- Delta Lake
- Spark
- PySpark
Where the posting names them
As a Data Engineer, you will design, develop, and maintain scalable data solutions leveraging modern data engineering practices and platforms. You will collaborate with cross-functional teams to deliver reliable, high-quality data products that support business and technology needs. - Design, develop, and maintain scalable ETL/ELT data pipelines using Python and Databricks. - Develop data processing and transformation solutions using Spark and PySpark.
Your profile - Strong hands-on experience with Python, Databricks, Apache Spark, and PySpark. - Experience building and supporting production-grade ETL/ELT data pipelines.
- Experience building and supporting production-grade ETL/ELT data pipelines. - Strong SQL skills and experience with data modeling, data transformation, and data quality practices. - Experience working with Delta Lake and Lakehouse architectures.
- Develop data processing and transformation solutions using Spark and PySpark. - Build, optimize, and maintain Databricks notebooks, workflows, and jobs. - Integrate data from multiple sources, including databases, APIs, files, and cloud storage, while performing data cleansing, enrichment, and validation activities.
- Strong SQL skills and experience with data modeling, data transformation, and data quality practices. - Experience working with Delta Lake and Lakehouse architectures. - Experience integrating data from databases, APIs, files, and cloud storage, with understanding of Git, CI/CD, testing, and engineering best practices.
- Design, develop, and maintain scalable ETL/ELT data pipelines using Python and Databricks. - Develop data processing and transformation solutions using Spark and PySpark. - Build, optimize, and maintain Databricks notebooks, workflows, and jobs.
Your next step
Complete your application on careers.capgemini.com. The employer’s form will show what is required.
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About Capgemini Service SAS
- People
- About 11,267 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as CAP.PA.
- H-1B visas
- 771 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 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.
About the role
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.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
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.
Job description
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Your role
As a Data Engineer, you will design, develop, and maintain scalable data solutions leveraging modern data engineering practices and platforms. You will collaborate with cross-functional teams to deliver reliable, high-quality data products that support business and technology needs.
- Design, develop, and maintain scalable ETL/ELT data pipelines using Python and Databricks.
- Develop data processing and transformation solutions using Spark and PySpark.
- Build, optimize, and maintain Databricks notebooks, workflows, and jobs.
- Integrate data from multiple sources, including databases, APIs, files, and cloud storage, while performing data cleansing, enrichment, and validation activities.
- Optimize data pipelines and Spark workloads for performance, scalability, reliability, monitoring, logging, and troubleshooting.
- Collaborate with analysts, developers, architects, and business teams while participating in code reviews, testing, documentation, CI/CD, and production support activities.
Your profile
-
Strong hands-on experience with Python, Databricks, Apache Spark, and PySpark.
-
Experience building and supporting production-grade ETL/ELT data pipelines.
-
Strong SQL skills and experience with data modeling, data transformation, and data quality practices.
-
Experience working with Delta Lake and Lakehouse architectures.
-
Experience integrating data from databases, APIs, files, and cloud storage, with understanding of Git, CI/CD, testing, and engineering best practices.
What you will love
-
Work on meaningful projects that use technology to solve real-world challenges.
-
Access continuous learning through internal academies, certifications, and mentorship.
-
Professional communities to connect with and support career growth
Need to know
- This position is offered in a remote work model.
- Employees have access to Capgemini offices located in Mexico City, Aguascalientes, and Guadalajara, providing flexibility for collaboration and team interactions when needed.
About Capgemini
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.
At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Aguascalientes, MX
Need to know - This position is offered in a remote work model. - Employees have access to Capgemini offices located in Mexico City, Aguascalientes, and Guadalajara, providing flexibility for collaboration and team interactions when needed.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.