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Senior Data Engineer

Job in Newark, Essex County, New Jersey, 07175, USA
Listing for: Capgemini
Full Time position
Listed on 2026-07-24
Job specializations:
  • Software Development
    AWS, Data Engineering
Salary/Wage Range or Industry Benchmark: 85000 - 95000 USD Yearly USD 85000.00 95000.00 YEAR
Job Description & How to Apply Below
# Senior Data Engineer New York Apply for this job
* Permanent* Experienced Professionals
* Data & AI
* -en US 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 by a 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 organizations unlock the value of technology and build a more sustainable, more inclusive world.##

*
* Location:

Newark, NJ.**##
*
* Qualifications:

** Bachelor's degree in computer science, Software Engineering, MIS or equivalent combination of education and experience  Experience implementing, supporting data lakes, data warehouses and data applications on AWS for large enterprises  Programming experience with Python, Shell scripting and SQL  Solid experience of AWS services such as Cloud Formation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc.  

Solid experience implementing solutions on AWS based data lakes.  Should have good experience with AWS Services - API Gateway, Lambda, Step Functions, SQS, DynamoDB, S3, Elasticsearch  Serverless application development using AWS Lambda  Experience in AWS data lake/data warehouse/business analytics  Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS  Knowledge of ETL/ELT  End-to-end data solutions (ingest, storage, integration, processing, access) on AWS  Architect and implement CI/CD strategy for EDP  Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred)  Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift  Migrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift  Implement POCs on any new technology or tools to be implemented on EDP and onboard for real use-case  AWS Solutions Architect or AWS Developer Certification preferred  Good understanding of Lakehouse/data cloud architecture##
** Responsibilities:
** Designing, building and maintaining efficient, reusable, and reliable architecture and code.  Build reliable and robust Data ingestion pipelines (within AWS, on-prem to AWS ,etc.)  Ensure the best possible performance and quality of high scale data engineering project  Participate in the architecture and system design discussions  Independently perform hands on development and unit testing of the applications.  Collaborate with the development team and build individual components into complex enterprise web systems.  

Work in a team environment with product, production operation, QE/QA and cross functional teams to deliver a project throughout the whole software development cycle.  Responsible to identify and resolve any performance issues  Keep up to date with new technology development and implementation  Participate in code review to make sure standards and best practices are met.

The base compensation range for this role in the posted location is: $85,000 - $95,000

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  addition to base salary, this role may be eligible for additional compensation such as…
Position Requirements
10+ Years work experience
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