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Salary
≈ $42k – $111k per year (Estimated)
Location
In office (Aguascalientes)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 5, 2026. First seen by Alion on Jul 14, 2026. Capgemini scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Capgemini is a French information technology services and consulting group founded in Grenoble in 1967 by Serge Kampf, and one of the largest IT service providers in the world. It designs, builds and runs systems for large enterprises and governments across some fifty countries, with a delivery workforce concentrated in India and a European client base heavier than most of its competitors. The group is organised into Capgemini Invent for strategy and design, Capgemini Engineering for research and development services acquired with Altran, and Sogeti for local technology services, and it has reoriented its portfolio around cloud migration, data platforms and generative AI.

Sr- Data Engineer- Sr | Remote

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

  • Design, build, and maintain data pipelinesand ETL processes using Databricksand Apache Spark.

  • Optimize data workflows for performance, scalability, and cost efficiency.

  • Implement data Lakehouse architectureand manage data ingestion from multiple sources.

  • Collaborate with data scientists and analysts to enable advanced analytics and machine learning workloads.

  • Ensure data quality, governance, and securityacross all data assets.

  • Monitor and troubleshoot Databricks clusters, jobs, and workflows.

  • Integrate Databricks with cloud services(AWS, Azure, or GCP) and other enterprise systems.

  • Document processes, standards, and best practices for data engineering.

YOUR PROFILE

  • Experience with Delta Lakeand Lakehouse architecture.

  • Knowledge of Azure Data Factory (ADF)for orchestration.

  • Exposure to CI/CD pipelines for data engineering.

  • Experience with SQL and Spark SQL.

  • Azure certifications related to data engineering.

WHAT YOU’LL LOVE ABOUT WORKING HERE?

  • At Capgemini Engineering, we encourage flexibility in how, when, and where people get their work done, allowing a better work-life balance, and greater empowerment. They partner with their managers to find an arrangement that works best for their role and their circumstances.
  • At Capgemini Engineering, we’re always looking ahead. We’re part of a team that creates opportunities to achieve valuable change. Change that makes a difference. New connections, new technologies, new ways to work. It’s so energizing.
  • At Capgemini Engineering, we make it easy for you to deepen knowledge and learn new skills while you’re still doing the day job.

ABOUT CAPGEMINI

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 300,000 team members in nearly 50 countries. With its strong 50-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering, and platforms.

Get the future you want!

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.

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