Data Engineering Jobs in United States
There are 5,717 open Data Engineering jobs in United States on freehire right now. 1,420 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 | 953 |
| USD | hour | $61 | $70 | $87 | 23 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- analytics 53%
- cloud 52%
- sql 51%
- data-engineering 51%
- python 50%
- data-pipelines 46%
- ai 45%
- data-quality 39%
How the work is done
- Remote 987 · 17%
- Hybrid 783 · 14%
- Onsite 287 · 5%
Visa sponsorship offered in 32% of the 1,004 postings that state a position on it.
Seniority
- Senior 1,667
- Lead 485
- Staff 250
- Principal 166
- C-level 122
- Junior 76
Who is hiring
- 1000+ employees 1,124
- 501-1000 employees 498
- 51-200 employees 120
- 11-50 employees 80
- 201-500 employees 25
- 1-10 employees 6
Engineering Manager, Data Platform
Lead a team of data engineers building scalable data infrastructure (lakes, warehouses, ETL) to power Crusoe’s AI and climate-aligned energy operations using Python, SQL, Airflow, BigQuery, and cloud platforms.
Senior Data Engineer
Build and maintain scalable data pipelines on Databricks for federal government systems, focusing on ETL/ELT, data quality, and governance using Unity Catalog.
Manager, Platform Engineering - Big Data Engineering
Lead a team building and operating Mastercard’s big-data and cloud platforms, using Kubernetes, CI/CD, and microservices while managing engineers and driving modern DevOps practices.
Asset&Wealth Management-Senior Cloud Data Engineer-Vice President-Dallas
Build and migrate data pipelines and microservices to AWS, containerizing systems with ECS and orchestrating data flows using Snowflake, Spark, and Iceberg.
Data Engineer - New York
Build and maintain scalable data pipelines and quality checks for a hedge fund, integrating vendor feeds and internal systems using Python, SQL, and cloud platforms like Snowflake and AWS.
Principal Data Engineer
Principal Data Engineer designs and scales enterprise-grade data infrastructure and real-time pipelines to power AI-driven analytics and autonomous agents at Salesforce.
Data Engineer
Designs and maintains cloud-based data pipelines and ETL processes for logistics data, enabling analytics and AI/ML in AWS or Azure environments.
Senior Data Engineer – Physical AI Platform, Data Engineering
Build and maintain cloud-native data pipelines and microservices in Python/AWS to feed AI models for autonomous construction equipment, ensuring high-quality, real-time data flows from 1.6M+ connected assets.
Manager - Data Engineering
Lead a team to design and deploy scalable data pipelines using Hadoop, Spark, Kafka, and NoSQL stores, enabling batch and real-time analytics for machine learning and search applications in a fintech environment.
Data Steward, Assistant Vice President
Oversee data governance and quality for financial markets, maintaining metadata, lineage, and controls to ensure regulatory compliance and accurate reporting.
Senior Data Engineer
Senior Data Engineer builds and maintains Databricks-based cloud data pipelines and transformations using dbt, SQL, Python, and Terraform to deliver clean, high-quality data for analytics and business insights.
Data Engineer - AWS
Build and maintain AWS-based data pipelines and analytics-ready datasets for a healthcare nonprofit, ensuring reliable data flow for care and operations.
Senior Engineer_Data Engineer_7
Build and maintain scalable data pipelines on GCP, migrating data from Teradata to BigQuery and ensuring data quality for AI-driven enterprise solutions.