Capgemini is seeking a Senior Data Engineer / Analytics Engineer in Chicago, IL (hybrid), with a salary range of USD 110,841 to 145,000 per year.

Take the lead on designing, building, and deploying scalable, reliable data pipelines that integrate data across multiple systems.
Define and enforce analytics engineering standards, covering coding practices, data governance, performance optimization, and automation strategies.
Contribute to code reviews, offer constructive feedback, and advance the team's coding practices and methodologies.
Create and maintain reliable ETL and ELT pipelines, reusable frameworks, and libraries to process data from various sources with high quality and consistency.
Proactively monitor and troubleshoot pipelines to ensure high availability, reliability, and performance across workflows.
Establish CI/CD workflows to automate deployment, testing, and ongoing maintenance of analytics processes.
Collaborate with data scientists, engineers, analysts, product managers, and stakeholders to translate requirements into actionable technical specifications and deliver data solutions.
Communicate complex technical concepts clearly to non-technical stakeholders to align on data initiatives across teams.

Practical experience with SQL, Python, dbt, and Snowflake.
Proficiency with Git and Airflow for version control and workflow orchestration.
Demonstrated track record designing and building scalable data pipelines and architectures.
Solid understanding of data governance, data quality assurance, and performance optimization in data engineering.
Expertise in ETL/ELT, data modeling, and integrating data from multiple sources into a data warehouse.
Experience implementing CI/CD workflows and tools for data engineering.
Strong problem solving and analytical abilities and a collaborative mindset.

Flexible work arrangements
Comprehensive health coverage including dental, vision, mental health, and well-being programs
Financial wellness programs such as a 401(k) plan and an Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits including adoption assistance, surrogacy, and cryopreservation
Social well-being benefits such as subsidized backup child and elder care and tutoring
Mentoring and ongoing learning programs
Employee Resource Groups
Disaster relief support

The analytics engineering team within the Service Analytics and AI organization aims to create curated data products from both structured and unstructured enterprise data to enable business intelligence, data science, and advanced analytics.
We are seeking a highly skilled data engineer to join the Analytics Engineering team in the Service Analytics and AI organization.
The role is central to designing, building, and maintaining scalable data pipelines and analytics solutions that support advanced analytics, business intelligence, and data science initiatives.
You will help build a semantic data layer, define innovative data products, and deliver AI powered solutions that drive growth and enhance customer experience.

Senior Data Engineer / Analytics Engineer

Job Description