Data Engineer

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

Benefits offered by this job

Paid time off

Medical coverage

Retirement plans

Life insurance

Employee assistance programs

Job summary

Capgemini in Whippany, NJ, seeks a Data Engineer to design, develop, and maintain scalable data solutions for analytics and operations. You will build pipelines, data warehouses, and lakehouse platforms while ensuring data quality, governance, and security.

Collaborate with Data Scientists, Analysts, and Product teams to deliver business-driven data solutions; optimize performance and automate workflows. Hybrid from Day 1 with strong benefits and opportunities for growth.

Qualifications

• Bachelor’s degree in computer science, IT, engineering, or related field.
• 5+ years of data engineering, data warehousing, or data integration experience.
• Strong SQL and at least one programming language (Python/Java/Scala).
• Experience with relational and NoSQL databases.
• Knowledge of data modeling, warehousing, and modern data architectures.
• Experience with cloud-based data platforms and big data technologies.
• Data governance, data quality, and security best practices.
• Excellent analytical and communication skills.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data.
• Build scalable data solutions to support analytics, reporting, and operations.
• Develop and optimize data models, schemas, and storage structures.
• Integrate data from multiple internal and external systems.
• 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 platforms.
• Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
• Automate data workflows, scheduling, and operational processes.
• Support data migration, modernization, and cloud transformation initiatives.
• Collaborate with Data Scientists, Analysts, Product Owners, and Dev teams.
• Document data architectures, data flows, designs, and procedures.
• Participate in code reviews and promote best practices.

Skills

SQL

Python

Java

Scala

Data modeling

Communication

Problem solving

Education

Bachelor's degree in CS/IT/Engineering or related field

Tools

Databricks

Snowflake

Spark

Airflow

CI/CD

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired bya collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Job Location : Whippany, NJ (Onsite/Hybrid from Day 1)

Job Description

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.

Key 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

The base compensation range for this role in the posted location is: 80786- 90273

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Benefits

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• 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

Important Notice:

Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. 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.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

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.