Data Engineer - Hybrid, Scalable Pipelines & Cloud

Capgemini; New York (NY); Hybrid; USD 81,000 - 90,000; Full time

Benefits offered by this job

Paid time off

Medical/dental/vision

Retirement savings plan

Life and disability insurance

Employee assistance program

Job summary

Capgemini is seeking a Data Engineer in Whippany, NJ to design, develop, and maintain scalable data solutions for analytics, reporting, and operations. The candidate will build robust ETL/ELT pipelines, data warehouses, and lakehouse architectures while ensuring data quality and governance.

Responsibilities include collaborating with Data Scientists, Analysts, and Product teams; optimizing data models and storage; and ensuring security and compliance across platforms.

Qualifications

• Bachelor's degree in Computer Science, IT, Engineering, or related field.
• 5+ years in Data Engineering, Data Warehousing, or Data Integration.
• Strong ETL/ELT development and data pipeline design.
• SQL and at least one language (Python/Java/Scala) proficiency.
• Experience with relational and NoSQL databases.
• Knowledge of data modeling, data warehousing, and modern architectures.
• Experience with cloud data platforms and big data tech.
• Understanding of data governance, quality, and security best practices.
• Strong analytical and communication skills.

Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines.
• Build scalable data solutions for analytics, reporting, and operations.
• Develop and optimize data models, schemas, and storage.
• Integrate data from multiple systems and applications.
• Maintain data warehouses, lakes, and lakehouse platforms.
• Implement data validation, cleansing, and quality checks.
• Ensure data governance, security, and compliance.
• Monitor and optimize data pipelines for performance and reliability.
• Automate data workflows and scheduling.
• Support data migration and cloud transformation initiatives.
• Collaborate with Data Scientists, Analysts, Product Owners, and Dev teams.
• Document data architectures, flows, designs, and procedures.
• Participate in code reviews and promote best practices.

Skills

SQL

Python/Java/Scala

ETL/ELT

Data modeling

Cloud platforms

Data governance

Communication

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

Spark

Databricks

Snowflake

CI/CD

Airflow

Job description

Capgemini is seeking a Data Engineer in Whippany, NJ to design, develop, and maintain scalable data solutions for analytics, reporting, and operations. The candidate will build robust ETL/ELT pipelines, data warehouses, and lakehouse architectures while ensuring data quality and governance.

Responsibilities include collaborating with Data Scientists, Analysts, and Product teams; optimizing data models and storage; and ensuring security and compliance across platforms.