Lead Data Engineer

Capgemini • Bridgewater, NJ

1d

About The Position

The Technical Data Engineer designs, builds, and maintains scalable data pipelines and platforms that enable analytics, reporting, and AI-driven use cases. This role works closely with data architects, analysts, and business teams to deliver high-quality, reliable data solutions.

Requirements

• Cloud Platforms: Azure, AWS, or GCP
• Data Processing: Apache Spark, Databricks, Kafka
• Databases & Storage:Synapse, ADLS, MS Foundry
• ETL / Orchestration: Azure Data Factory, Airflow, dbt, Informatica
• Programming: Python, SQL
• Version Control & DevOps: Git, Azure DevOps, Terraform

Nice To Haves

• Supporting ML and AI pipelines through high-quality data engineering
• Exposure to feature stores, MLOps, or AI-ready datasets
• Familiarity with generative AI data patterns (RAG, embeddings, vector stores)

Responsibilities

• Design, build, and optimize ETL/ELT data pipelines for structured and unstructured data
• Develop batch and real-time data processing solutions
• Ensure data quality, reliability, and performance across platforms
• Collaborate with architects and senior engineers on solution design
• Support analytics, reporting, and AI use cases through curated datasets
• Implement CI/CD and DevOps best practices for data engineering
• Troubleshoot and resolve performance and data issues
• Identify and Implement Automation

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees