Data Engineering Jobs in United States
There are 5,623 open Data Engineering jobs in United States on freehire right now. 1,436 of them were posted recently. The skills employers ask for most often are analytics, cloud and sql.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| USD | year | $146,900 | $173,550 | $207,800 | 973 |
| USD | hour | $58 | $70 | $80 | 25 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- analytics 52%
- cloud 51%
- sql 51%
- python 50%
- data-engineering 50%
- data-pipelines 45%
- ai 44%
- data-quality 39%
How the work is done
- Remote 969 · 17%
- Hybrid 759 · 13%
- Onsite 281 · 5%
Visa sponsorship offered in 32% of the 998 postings that state a position on it.
Seniority
- Senior 1,684
- Lead 461
- Staff 242
- Principal 162
- C-level 117
- Junior 78
Who is hiring
- 1000+ employees 1,127
- 501-1000 employees 489
- 51-200 employees 121
- 11-50 employees 83
- 201-500 employees 24
- 1-10 employees 7
Data Engineer III - Python / SQL
Designs and maintains secure, scalable data pipelines and analytics solutions using Python, SQL, Databricks, and NoSQL for a large bank’s consumer and community banking division.
Data Engineer III - Python/PySpark/Databricks/AI
Design and maintain secure, scalable data pipelines and analytics solutions using Python, PySpark, Databricks, and enterprise AI tools to support JPMorgan Chase’s business objectives.
Senior Data Engineer – Informatica / Workday
Builds and maintains Informatica/Workday pipelines to extract, transform, and archive employee data from Workday into Oracle, ensuring effective-dated history, referential integrity, and compliance with security controls.
Senior Data Engineer
The Senior Data Engineer will design, build, and maintain scalable ETL/ELT pipelines and cloud-based data lakehouse architectures using AWS and Azure. This role involves collaborating with cross-functional teams to ensure data quality and support analytics, reporting, and AI-driven initiatives.
Senior Data Engineer
Design, build, and operate data pipelines for structured and unstructured data using Python and SQL on AWS, supporting analytics, AI/ML, and document processing solutions for federal government clients.
Data Engineer
Data Engineer building secure, scalable data pipelines in Python, SQL, and Databricks to power IRS fraud detection, compliance analytics, and ML workflows in a hybrid role.
Principal Software Engineer / Data Engineer (Onsite)
Design and build enterprise ontologies, knowledge graphs, and semantic data models using W3C standards (OWL, RDF, SPARQL) and graph databases to connect raw operational data with AI-ready intelligence for defense programs at RTX.
Summer Intern 2027 - Data Engineering
Build and optimize scalable data pipelines and workflows to transform raw data into actionable business insights, collaborating with engineering and business teams in an enterprise fintech environment.