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About the Role

We are seeking a highly motivated Data Engineer to design, develop, and maintain scalable data solutions that support analytics, reporting, and business operations. The ideal candidate will have strong experience in building data pipelines, data warehouses, and modern data platforms while ensuring data quality, governance, security, and performance across the enterprise.

Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines for structured and unstructured data processing.
• Build scalable and reliable data solutions to support analytics, reporting, and operational use cases.
• Develop and optimize data models, database schemas, and storage structures.
• Integrate data from multiple internal and external systems and applications.
• Develop, maintain, and enhance data warehouses, data lakes, and lakehouse platforms.
• Implement data validation, cleansing, transformation, and quality assurance processes.
• Ensure data integrity, governance, security, and compliance across enterprise data platforms.
• Monitor, troubleshoot, and optimize data pipelines to improve performance, scalability, and reliability.
• Automate data workflows, scheduling, and operational processes.
• Support data migration, modernization, and cloud transformation initiatives.
• Collaborate with Data Scientists, Business Analysts, Product Owners, and Application Development teams to deliver business-driven data solutions.
• Document data architectures, data flows, technical designs, and operational procedures.
• Participate in code reviews and promote engineering best practices, standards, and continuous improvement.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 5+ years of experience in Data Engineering, Data Warehousing, or Data Integration.
• Strong experience with ETL/ELT development and data pipeline design.
• Proficiency in SQL and at least one programming language such as Python, Java, or Scala.
• Experience with relational and NoSQL databases.
• Strong understanding of data modeling, data warehousing, and modern data architectures.
• Experience working with cloud-based data platforms and big data technologies.
• Knowledge of data governance, data quality, and security best practices.
• Strong analytical, problem-solving, and communication skills.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience with modern data lake and lakehouse architectures.
• Familiarity with Spark, Databricks, Snowflake, or similar data technologies.
• Experience with CI/CD, DevOps, and workflow orchestration tools.

Skills

• ETL/ELT development
• Data pipeline design
• SQL
• Python
• Java
• Scala
• Relational databases
• NoSQL databases
• Data modeling
• Data warehousing
• Modern data architectures
• Cloud-based data platforms
• Big data technologies
• Data governance
• Data quality
• Data security
• AWS
• Azure
• Google Cloud Platform
• Spark
• Databricks
• Snowflake
• CI/CD
• DevOps
• Workflow orchestration

Location

• Whippany, NJ

Work Type

• Onsite
• Hybrid

Experience Level

• 5+ years of experience

Education Level

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Salary/Compensations

• 80786- 90273

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

About the Company

• Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Equal Opportunity

• All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.