Data Engineer; AI/ML
Job in
New York, New York County, New York, 10261, USA
Listing for:
Capgemini
Full Time
position
Listed on 2026-02-06
Job specializations:
-
Software Development
Software Engineer, AI Engineer, Data Engineer, Data Scientist
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 YorkChoosing 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
Overview
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 a plusExposure 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
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
Flexible workHealthcare including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized back-up child/elder care and tutoringMentoring, coaching and learning programsEmployee Resource GroupsQualifications
Required qualifications for this position are stated in the description. Physical, mental, sensory or environmental demands may be referenced to communicate how the position is typically performed. Capgemini will consider reasonable accommodations to provide equal employment opportunity, provided that accommodations do not pose an undue hardship.
Compensation and Benefits
The base compensation range for this role in the posted location is $80,420 to $106,050. Capgemini provides compensation information in accordance with applicable pay transparency laws. The actual compensation offered may fall outside the posted range and will be determined based on factors legally permitted in the applicable jurisdiction, such as geographic location, education and qualifications, certifications and licenses, relevant experience and skills, seniority and performance, market and business considerations, and internal pay equity.
It is not typical to hire at the top of the posted 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,…
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