Associate Data Engineer

Capgemini
Seattle; Washington, US
On-site

Job Description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

About The Job You're Considering

Capgemini is looking to hire an associate data engineer to join our team in Nashville.

Your role

  • Lead the design, development and enhancement of robust data ingestion pipelines, partnering with technical product managers, analysts, engineering teams, and stakeholders to design, test, and deliver robust data pipelines into our analytics platforms.
  • Guide the end-to-end lifecycle of dashboard and analytics product development.
  • Architect scalable, reliable and secure data engineering solutions: Using Databricks, Spark, SQL and other cloud native tools to support enterprise reporting and advanced analytics needs.
  • Serve as a technical leader for the team: Provide hands-on development support, code reviews, architectural guidance, and mentorship to analysts and engineers.
  • Drive engineering best practices including CI/CD, automated testing, version control, monitoring and performance optimization across data pipelines and analytics applications.

Skills And Experience

  • 8+ years of professional industry experience with software development, with a strong track record of delivering scalable data solutions in enterprise environments.
  • 5+ years of hands on experience with SQL, including complex query development, performance tuning and working with large datasets.
  • 4+ years of experience building data pipelines using Spark, with strong understanding of distributed processing and optimization techniques.
  • 3+ years of experience working in Databricks, including notebooks, delta Lake, job orchestration, cluster management, and CI/CD integration.
  • Experience designing and supporting data ingestion frameworks (batch and/or streaming) from diverse source systems such as API's, files, databases, and event streams.
  • Strong proficiency with BI and visualization tools, including Power BI and Tableau with the ability to guide dashboard development and enforce visualization best practices.
  • Hands-on experience with workflow and project management tools, especially jira, for sprint planning, backlog management, and cross-team coordination.
  • Experience with data quality, data validation, and metadata management practices, including implementing automated checks and monitoring.
  • Strong communication and stakeholder management skills.

The base compensation range for this role in the posted location is: $85,000 - $100,000.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Benefits

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Ca

Skills & Requirements

Technical Skills

SqlSparkDatabricksPower biTableauJiraCommunicationStakeholder managementData engineeringAnalytics

Salary

$85,000 - $100,000

year

Employment Type

FULL TIME

Level

mid

Posted

5/7/2026

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