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Data Engineer; AI​/ML

Job in New York, New York County, New York, 10261, USA
Listing for: Capgemini
Full Time position
Listed on 2026-02-03
Job specializations:
  • Software Development
    Software Engineer, AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80420 - 106050 USD Yearly USD 80420.00 106050.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer (AI/ML)
Location: New York

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.

Job Location: NY

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.

  • Applies scientific methods to analyse and solve software engineering problems.
  • He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.
  • His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.
  • The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.
  • The software engineer collaborates and acts as team player with other software engineers and stakeholders.
  • Required Skills
    • 6+ years of hands‑on experience in data engineering and analytics roles.
    • Strong proficiency in SQL and experience with relational databases (MySQL, DB2, etc).
    • Experience in Software development in Object‑oriented programming languages like Python, Java etc.
    • Solid understanding of data modeling, architecture, and governance principles.
    • Hands‑on experience with reporting tools such as Power BI, Tableau, or similar.
    • 2+ years of experience or exposure to Machine Learning concepts, including model development, large language model (LLM) implementation, and statistical analysis for predictive and analytical solutions.
    • Bachelor's degree in Computer Science, Data Engineering or a related field.
    • Excellent communication and collaboration skills.
    Preferred Skills
    • AI/ML experience is plus.
    • Exposure to Cloud Databases like Snowflake etc.
    • Experience in financial services and wealth management domains.
    • Experience with cloud platforms (e.g., AWS, Azure, GCP).
    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 subsidised back‑up child/elder care and tutoring
    • Mentoring, coaching and learning programs
    • Employee Resource Groups
    • Capgemini is committed to providing reasonable accommodations during recruitment and employment to persons with disabilities.

    The base compensation range for this role in the posted location is: $80,420 to $106,050.

    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.

    Capgemini offers a comprehensive, non‑negotiable benefits package to all regular, full‑time employees. In the U.S. and Canada, available benefits are determined…

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