Data Engineering Jobs in United States
There are 5,611 open Data Engineering jobs in United States on freehire right now. 1,416 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 | $147,012 | $173,550 | $207,725 | 974 |
| USD | hour | $57 | $69 | $84 | 24 |
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 963 · 17%
- Hybrid 752 · 13%
- Onsite 279 · 5%
Visa sponsorship offered in 32% of the 996 postings that state a position on it.
Seniority
- Senior 1,677
- Lead 462
- Staff 238
- Principal 162
- C-level 117
- Junior 78
Who is hiring
- 1000+ employees 1,130
- 501-1000 employees 488
- 51-200 employees 122
- 11-50 employees 81
- 201-500 employees 24
- 1-10 employees 7
Mission Data Engineer (Top Secret with agreement to obtain CI Poly)
Builds and manages classified data pipelines for intelligence systems, ensuring secure, reliable data ingestion, normalization, and system-to-system exchange for mission-critical analysis.
Data Steward / Policy Manager – Senior (Top Secret with agreement to obtain CI Poly)
Senior role managing data governance, integration, and policy for Army Intelligence, leading teams and drafting SOPs to support intelligence operations and foreign disclosure.
Data Engineer – Capital Markets
This role involves designing and maintaining scalable ETL/ELT data pipelines and data models to support capital markets, fraud screening, and financial crimes initiatives. The engineer will work with Python, SQL, and Snowflake on cloud platforms to ensure data quality and security.
Senior Data Engineer
Senior Data Engineer building end-to-end data solutions—ETL pipelines, data lakes, and warehouses—using Python, DBT, Airflow, Snowflake, and AWS for an online membership-based healthy products retailer.
Data Engineer
Designs and maintains automated data pipelines and warehouses that feed analytics and reporting for a construction SaaS platform, using SQL, Python, and cloud data tools.
Senior Data Engineer - Revenue Data Platform
Builds and maintains high-throughput, mission-critical data pipelines for billing, cost attribution, and revenue systems at scale using Spark, Airflow, and related tools.
Data Engineer
Design and build secure, scalable data processing systems and infrastructure for Google's Devices & Services team, developing data models and pipelines for analysis and ML using Python/Java/Go/C++ and BI tools like Tableau.
Senior Software Engineer, Data Engineering, Cloud AI
Design, build, and maintain scalable batch and streaming data pipelines and high-performance data warehousing systems for Gemini Enterprise and Cloud AI at Google.
Junior AI / Data Engineering Analyst
Junior analyst supporting AI, data pipeline, and analytics solutions for financial services clients, using Python/SQL/Java along with cloud platforms and ML tools in a hybrid Orlando role.
ETL Developer
ETL Developer supporting a government customer in Washington, DC, building and maintaining ETL pipelines, data integration workflows, and transformation logic using Informatica and SQL.
Expert ETL Developer
Designs, develops, and maintains complex ETL pipelines and data integration workflows for a government customer on-site in Washington, DC, using SQL, data modeling, and enterprise ETL tools to support reporting modernization and analytics.
Expert ETL Developer
Expert ETL Developer building and maintaining ETL processes (primarily Informatica) and data models for the VBA Enterprise Data Warehouse on Oracle infrastructure, on-site in Washington, DC.
Senior Data Engineer
About Us Beast Industries is a multifaceted media and entertainment company founded by Jimmy Donaldson, popularly known as MrBeast, the most watched person in the world. Renowned for revolutionizing digital content…
Data Engineer, Transplant/DOS
Data Engineer building data warehouse and analytic solutions—ingesting, integrating, and curating data—using SQL, ETL pipelines (SSIS, Azure Data Factory), and Python for a health system.