Data Engineering Jobs in United States
There are 5,721 open Data Engineering jobs in United States on freehire right now. 1,409 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 | $147,500 | $174,600 | $210,000 | 955 |
| USD | hour | $62 | $70 | $84 | 24 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- analytics 53%
- cloud 52%
- sql 51%
- data-engineering 50%
- python 50%
- data-pipelines 46%
- ai 44%
- data-quality 39%
How the work is done
- Remote 984 · 17%
- Hybrid 784 · 14%
- Onsite 288 · 5%
Visa sponsorship offered in 32% of the 1,004 postings that state a position on it.
Seniority
- Senior 1,671
- Lead 488
- Staff 250
- Principal 165
- C-level 123
- Junior 76
Who is hiring
- 1000+ employees 1,126
- 501-1000 employees 498
- 51-200 employees 120
- 11-50 employees 80
- 201-500 employees 25
- 1-10 employees 6
Azure Data Engineer - CTH
Designs, builds, and maintains scalable Azure-based data pipelines and systems to support organizational data needs.
Data Engineer
Designs and maintains data pipelines in Snowflake and Databricks using Fivetran, dbt, and Sigma to deliver trusted insights and demo assets for a cloud analytics platform.
Senior Data Engineer
Design and maintain CarePartners’ enterprise data platform, ensuring secure, compliant data pipelines and governance for analytics and AI readiness across clinical, financial, and HR systems.
Data Engineer
Design and build secure data pipelines and ETL workflows for cyber-defense analytics using Python, Spark, Kafka, and cloud services to support DoD operations.
SITEC - Data Engineer - Camp H.M. Smith, HI
Designs and maintains data pipelines to ingest and process telemetry for a DoD enterprise, using tools like Splunk and Kafka to ensure secure, compliant data visibility and analytics.
Senior/Staff Software Engineer, Data Engineering (Remote)
Build and scale data pipelines, ingestion systems, and tooling to support AI-driven investment research and trading operations using Python, Go, or C++ in a Linux environment.
Staff Data Platform Engineer
Lead the architecture and scaling of Tilt’s Databricks-based data warehouse, building self-service frameworks so Analytics, Data Science, and app teams can move fast without bottlenecks.
Data Engineer
Build and maintain large-scale data pipelines and lakes on AWS Databricks, integrating diverse sources and ensuring data quality for risk-intelligence products.
Big Data Engineer
Builds and maintains GCP-based data pipelines, optimizes BigQuery SQL models, and processes data with Python, Hive, and PySpark.
Data Engineer, PDS&T CMC
Build and maintain AI-native data pipelines that integrate manufacturing and development systems (MES, LIMS, QMS, ERP) to power analytics and AI models for biologic drug development at AbbVie.
AI/ML Lead Data Engineer - Automation/Image Processing
Lead a team building scalable AWS pipelines that ingest, preprocess, and OCR millions of scanned documents, then route extracted data to databases and analytics platforms.
Data Engineer, Officer - State Street Investment Management
Build and maintain large-scale data pipelines and cloud-native analytics platforms using Python, PySpark, SQL, Databricks, and Snowflake to support investment management operations.