FSSBU - AWS Data Engineer - C1 - (BARC)

Capgemini; New Jersey; Hybrid; USD 79,000 - 95,000; Full time

Benefits offered by this job

Paid time off

Health insurance

Retirement savings

Life and disability insurance

Employee assistance programs

Job summary

Capgemini is seeking an AWS Data Engineer to design and maintain scalable cloud-based data solutions in Whippany, NJ. You will build ETL/ELT pipelines, manage data lakes and warehouses on Redshift or Snowflake, and implement CI/CD with Terraform/CloudFormation.

The role requires hands-on AWS experience, Python/SQL, and strong collaboration with data scientists and business stakeholders to enable analytics and ML initiatives.

Qualifications

• Bachelor's degree in a related field is required.
• 5+ years of data engineering and cloud experience on AWS.
• Strong hands-on with Python, SQL, Spark, and ETL/ELT development.
• Experience with Redshift, Snowflake, data lakes, and real-time processing.

Responsibilities

• Design scalable data architectures using AWS services (S3, Redshift, Glue, Athena, EMR).
• Build and maintain ETL/ELT pipelines for structured and unstructured data.
• Develop real-time and batch ingestion with AWS-native tools and Kafka.
• Utilize Python, Spark, Scala, and AWS tools for processing and transformation.
• Collaborate with data scientists and stakeholders to deliver scalable data platforms.

Skills

AWS data services

Python

SQL

Spark

ETL/ELT

CI/CD

DevOps

Problem solving

Communication

Education

Bachelor's degree

Tools

S3

Redshift

Snowflake

Glue

Athena

EMR

DynamoDB

Lambda

Kinesis

Kafka

Airflow

Terraform

CloudFormation

Job description

Job Location

Whippany, NJ (Onsite/Hybrid from Day 1)

Job Description

We are seeking a skilled AWS Data Engineer to design, build, and maintain scalable cloud-based data solutions on AWS. The ideal candidate will have experience developing data pipelines, managing data lakes and warehouses, implementing automation, and ensuring secure, high-quality data platforms that support analytics, business intelligence, and machine learning initiatives.

Key Responsibilities

• Design and implement scalable data architectures using AWS services such as S3, Redshift, Glue, Athena, EMR, DynamoDB, Lambda, and Kinesis.
• Build, optimize, and maintain ETL/ELT pipelines for structured and unstructured data.
• Develop real-time and batch data ingestion solutions using AWS-native technologies and Kafka.
• Utilize Python, Spark, Scala, AWS Glue, and EMR for data processing and transformation.
• Build and manage data lakes on Amazon S3 and data warehouses on Redshift or Snowflake.
• Optimize data models, database performance, partitioning, and storage strategies.
• Implement CI/CD pipelines, Infrastructure-as-Code (Terraform/CloudFormation), and DevOps best practices.
• Monitor and troubleshoot data pipelines, infrastructure, and performance issues using CloudWatch and related AWS services.
• Apply AWS security best practices, including IAM, KMS, VPCs, and Secrets Manager.
• Ensure compliance with data governance, privacy, audit, and regulatory requirements.
• Collaborate with data scientists, analysts, and business stakeholders to deliver scalable data solutions.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
• 5+ years of experience in data engineering and cloud-based data platforms.
• Strong hands-on experience with AWS data services and cloud architecture.
• Proficiency in Python, SQL, Spark, and ETL/ELT development.
• Experience with Redshift, Snowflake, data lakes, and real-time data processing frameworks.
• Knowledge of Terraform/CloudFormation, CI/CD pipelines, and DevOps practices.
• Strong problem-solving, communication, and stakeholder management skills.

Preferred Qualifications

• AWS Certified Data Engineer, Solutions Architect, or related AWS certification.
• Experience with Kafka, Airflow, and modern lakehouse architectures.

Compensation

The base compensation range for this role in the posted location is: 78628-95278

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, Certificates 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.

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:

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

Equal Opportunity Employer

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.

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.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

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.