Data Engineer (contract)

Capgemini; Atlanta (GA); On-site; USD 61,812 - 96,528; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement benefits

Job summary

Capgemini is looking for a Data Engineer in Atlanta, Georgia. The successful candidate will design and maintain scalable data pipelines using Azure and Microsoft Fabric. Responsibilities include owning data products end-to-end and collaborating with cross-functional teams to translate business needs into data solutions. The role requires strong problem-solving skills and a track record of supporting product-oriented teams. Benefits include medical, dental, vision, and retirement plans. Pay ranges from $44.87 to $70.07 per hour, based on experience.

Qualifications

• Experience working with Azure data stack and Microsoft Fabric.
• Strong understanding of modern data architecture patterns.
• Proven experience supporting product-oriented teams.

Responsibilities

• Design, build, and maintain scalable data pipelines using Azure services.
• Own data products from requirements to deployment.
• Collaborate with product managers to translate business needs into data solutions.

Skills

Experience as a Data Engineer with the Azure data ecosystem

Hands-on experience with Microsoft Fabric

Strong problem-solving skills

Ability to work independently

Job description

Overview

We are seeking a Data Engineer with a strong product-oriented mindset and hands‑on experience across the Azure data stack, including Microsoft Fabric. This role is ideal for an independent, self‑driven engineer who takes ownership of end‑to‑end data solutions and partners closely with product and business stakeholders.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and platforms using Azure services and Microsoft Fabric
• Own data products end‑to‑end, from requirements and design through deployment and optimization
• Develop reliable, high‑quality datasets to support analytics, reporting, and downstream applications
• Collaborate closely with product managers, analysts, and engineers to translate business needs into data solutions
• Ensure data reliability, performance, security, and governance across platforms
• Identify opportunities to improve data architecture, tooling, and engineering best practices
• Operate with a high degree of autonomy, making technical decisions aligned with product goals

Required Qualifications

• Experience as a Data Engineer working with the Azure data ecosystem
• Hands‑on experience with Microsoft Fabric (e.g., Lakehouse, Data Pipelines, Warehouses, or equivalent components)
• Strong understanding of modern data architecture patterns (ELT/ETL, lakehouse, streaming, batch processing)
• Ability to work independently, manage priorities, and deliver without heavy oversight
• Proven experience supporting product‑oriented or product‑led teams, rather than pure platform or support roles
• Strong problem‑solving skills and ownership mentality

Preferred Qualifications

• Experience working in agile or product‑driven development environments
• Familiarity with data modeling, performance tuning, and cost optimization in Azure
• Strong communication skills and ability to work cross‑functionally

What We’re Looking For

• A self‑directed engineer who thrives in ambiguous problem spaces
• Someone who treats data solutions as products, not just pipelines
• A builder who values impact, quality, and long‑term maintainability

Pay Range $44.87/hour - $70.07/hour

Our benefits include medical, dental, vision and retirement benefits.

Applications will be accepted on an ongoing basis.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.