> Markdown version of [/jobs/ext/4195929-senior-aws-data-engineer-in-newark](https://www.wearedevelopers.com/jobs/ext/4195929-senior-aws-data-engineer-in-newark). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior AWS Data Engineer in Newark

- **Company:** Energy Jobline
- **Location:** Newark, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Cloud Engineering, Information Systems, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Data Warehousing, DevOps, Python (Programming Language), Shell Script, Software Engineering, SQL Databases, Enterprise Data Management, Data Ingestion, Data Lakes, Infrastructure Automation Frameworks, Information Technology, AWS Data Analytics, Data Management, Data Pipelines
- **Published:** October 2, 2026
- **Apply:** https://www.energyjobline.com/job/senior-aws-data-engineer-newark-31816782

## About the Role

This is an excellent opportunity for an experienced AWS Data Engineer who enjoys building scalable data pipelines, automating infrastructure, and working across cloud engineering, DevOps, and enterprise data platforms., * Bachelor's degree in Computer Science, Information Systems, Software Engineering, or related field.
\n

 * 8+ years of Data Engineering experience.
\n

 * AWS Solutions Architect or AWS Developer Certification (required).
\n

 * Strong experience building cloud- data platforms on AWS.
\n

 * Experience developing enterprise data ingestion pipelines.
\n

 * Strong Python, SQL, and Shell scripting experience.
\n

 * Experience with AWS Data Lake and Data Warehouse architectures.
\n

 * Experience implementing ETL/ELT solutions.

## Description

Join a highly visible Enterprise Data Platform team responsible for designing and building cloud- data solutions supporting enterprise analytics, governance, and modern data architecture initiatives. You'll work in a cutting-edge AWS environment leveraging advanced data engineering, DevOps, and data governance technologies.