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Junior Data Engineer - ETL Development

Job in Smithfield, Providence County, Rhode Island, 02917, USA
Listing for: Capgemini
Full Time position
Listed on 2026-08-23
Job specializations:
  • Software Development
    Data Engineering, Python
Salary/Wage Range or Industry Benchmark: 56000 - 88000 USD Yearly USD 56000.00 88000.00 YEAR
Job Description & How to Apply Below

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 bya 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.

Job Location
- Smithfield RI (Day One Onsite
- Hybrid)

About

The Role

We are seeking a Data Engineer with experience in ETL development, data processing, and workflow modernization. The ideal candidate will work on analyzing existing Informatica workflows and supporting their migration to modern Python-based ETL solutions while contributing to enterprise data initiatives.

Key Responsibilities
  • Analyze existing Informatica workflows, mappings, and data transformations to support modernization efforts.
  • Develop and maintain ETL pipelines using Python and SQL.
  • Build and enhance batch-processing solutions using Java Spring Batch.
  • Support migration of legacy data workflows to modern cloud-based architectures.
  • Perform data analysis, data validation, and reconciliation activities to ensure data quality.
  • Utilize AI-assisted development tools such as Git Hub Copilot and Generative AI solutions to improve delivery efficiency.
  • Collaborate with business, data, and engineering teams to translate requirements into scalable solutions.
  • Participate in testing, deployment, and production support activities.
Required Skills
  • ETL development and migration experience (preferably Informatica)
  • Strong Java and Spring Boot
  • python ETL
Preferred Skills
  • Java Spring batch
  • Experience analyzing legacy ETL workflows (preferably Informatica)
  • Financial Services industry experience.
  • Experience working with large-scale enterprise data platform
Life At Capgemini
  • Flexible work
  • Healthcare including dental, vision, mental health, and well-being programs
  • Financial well-being programs such as 401(k) and Employee Share Ownership Plan
  • Paid time off and paid holidays
  • Paid parental leave
  • Family building benefits like adoption assistance, surrogacy, and cryopreservation
  • Social well-being benefits like subsidized back-up child/elder care and tutoring
  • Mentoring, coaching and learning programs
  • Employee Resource Groups

Disaster Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment.

All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

Salary Transparency Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future.

The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at…

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