Data Engineer with Microsoft Fabric

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 : Newark, NJ (Onsite/Hybrid)

Job Description

• We are seeking a highly skilled Data Engineer with Microsoft Fabric & Power BI to design, build, and optimize data solutions using Microsoft Fabric, OneLake, and modern data architecture patterns. The ideal candidate will have strong experience in building scalable data pipelines, enabling Fabric‑native data capabilities, and driving cloud modernization initiatives within the Microsoft ecosystem.
• Design and develop data pipelines and models using Microsoft Fabric and OneLake, with a strong focus on interoperability and performance using columnar formats like Parquet and efficient serialization formats like Protobuf.
• Collaborate with cross-functional teams (Product Owners, Azure Solution Architects, Data & Software Engineers) to drive a Fabric-native data platform that integrates seamlessly with Power BI.
• Enable modern data architecture patterns, including Lakehouse, near real-time streaming, schema evolution, and efficient serialization in messaging and APIs.
• Maintain and automate scalable data pipelines, emphasizing performance, metadata consistency, and optimal use of storage formats such as Parquet within the Microsoft ecosystem.
• Champion DevOps practices, implementing CI/CD pipelines (via Azure DevOps or GitLab Pipelines) and Infrastructure-as-Code for consistent, secure deployment of Fabric-based solutions.
• Monitor and optimize platform performance using observability tools, ensuring health, reliability, and cost-efficiency.Drive cloud migration and modernization efforts, guiding the transition to Microsoft Azure and Fabric, ensuring format and schema'

Qualifications

• Strong experience with Microsoft Fabric, OneLake, and Azure data services.
• Hands-on expertise with Parquet, Protobuf, and modern serialization/storage formats.
• Experience designing and automating scalable data pipelines.
• Must have great expertise in Power BI.
• Solid understanding of data modeling, schema evolution, streaming architectures, and lakehouse principles.
• Strong background in DevOps practices, CI/CD automation, and IaC tools.
• Experience collaborating with cross-functional engineering and product teams.
• Strong problem‑solving, optimization, and analytical skills.

The base compensation range for this role in the posted location is: USD $90000 - $110786 Per Year.

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

Capgemini is an Equal Opport