Data Engineering Jobs in United States
There are 5,641 open Data Engineering jobs in United States on freehire right now. 1,422 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 | $147,125 | $173,550 | $208,150 | 971 |
| 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 968 · 17%
- Hybrid 761 · 13%
- Onsite 280 · 5%
Visa sponsorship offered in 32% of the 1,001 postings that state a position on it.
Seniority
- Senior 1,695
- Lead 465
- Staff 243
- Principal 162
- C-level 117
- Junior 79
Who is hiring
- 1000+ employees 1,131
- 501-1000 employees 490
- 51-200 employees 121
- 11-50 employees 83
- 201-500 employees 24
- 1-10 employees 7
Data Engineer- Senior TS/SCI
Senior Data Engineer designing and building scalable data pipelines, ETL processes, and data architectures for DoD Joint Staff CDAO missions, using SQL, Python, and tools like Palantir Foundry or Databricks in secure environments.
Data Engineer TS/SCI
Designs and maintains scalable data pipelines and architectures for DoD mission support, integrating disparate data sources while ensuring security, compliance, and operational analytics for AI-driven decision-making.
Data Engineer
Builds and deploys cloud-native data pipelines and AI/ML tools for DoD/IC customers, using Python, Databricks, ETL, and PostgreSQL to deliver strategic insights to senior leadership.
Manager, Data Engineering
Lead a Data Engineering team building scalable data pipelines, warehouse solutions, and governed data assets for Finance analytics and reporting, using SQL, Python, DBT, and modern BI tools.
Sr. Data Engineer, Payment Operations
Senior Data Engineer designing and maintaining Snowflake data pipelines, payment monitoring scenarios, and KPI infrastructure for executive reporting within Zelis' Payment Operations team.
Senior Data Engineer
Design and optimize large-scale data architectures and pipelines using SQL, Python, Snowflake on Azure, Azure Data Factory, and Databricks while ensuring data quality and governance for a pharmacy benefits manager.
Data Engineer
Data Engineer building federated data access, semantic layers, and GraphQL interfaces to support Disney's enterprise Data Unification initiative using Python, SQL, cloud platforms like Snowflake/Databricks, and knowledge graph technologies.
Priority Health Data Engineer Senior
Senior Data Engineer building and maintaining ELT/ETL data pipelines and data warehouse architecture using Snowflake, AWS, and MS Fabric for a health plan/payer analytics team.
Data Engineer
Build and maintain ETL/ELT data pipelines and models using SQL and Python, supporting open lakehouse and medallion-layered architectures for commercial, operational, and enterprise data domains at a global climate and energy solutions company.
Senior AI / ML Data Engineer - Layla AI
Senior AI/ML Data Engineer building reliable data pipelines, high-quality datasets, and experimentation/evaluation foundations for Layla AI's conversational travel-planning assistant at Expedia Group, using Python, SQL, and modern data stack tools.
Data Governance Manager
Leads university-wide data governance program—establishing policies, standards, and procedures to ensure data accuracy, security, and FERPA compliance. Facilitates governance committees, promotes data literacy, and oversees data stewardship, quality, and lifecycle practices.
Associate Director, Data Engineering Lead
Leads enterprise data engineering and governance at Novartis, designing scalable pipelines and ensuring compliant, high-quality data for AI-driven decision-making and patient outcomes.
Staff Engineer - Data Engineering
Hands-on Staff Data Engineer (50%+ coding) at Early Warning (Zelle), architecting and building scalable data platforms, lakehouses, and ML pipelines using Snowflake, Databricks, Python/PySpark on AWS.