Lead Data Engineer

Capgemini•Bridgewater, NJ

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

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