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
Senior Data Engineer — GCP
Senior Data Engineer builds and leads scalable GCP data pipelines and warehouses using BigQuery, Python, and SQL to power analytics and AI for clients.
Data Engineer
Mid-level Data Engineer to migrate data infrastructure from Hadoop to AWS Athena/Snowflake using Python and SQL.
LLM Data Engineer
Builds and curates healthcare datasets for AI models, focusing on clinical prediction tasks like sepsis onset and lab trends using AWS data services and LLM expertise.
AWS Data Engineer
Designs and builds AWS-based data lakes, warehouses, and ingestion pipelines using Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, and Athena; writes Python/SQL and scripts in Shell/Scala.
Senior Data Engineer
Designs and maintains scalable ETL/ELT pipelines and data platforms using Snowflake, Python, SQL, AWS, and Airflow to power analytics and AI solutions.
Data Engineer
Designs, builds, and maintains data pipelines and integrations to support enterprise reporting and analytics for a client in Jacksonville.
Senior Data Engineer - Only W2
Senior Data Engineer designs scalable data architectures and builds robust pipelines on GCP using Java and Python to migrate and transform large-scale datasets for healthcare and financial clients.
Engineering Manager - Data Engineering & Insights
Lead a team building real-time and batch data pipelines, semantic layers, and embedded analytics for a platform powering 80% of US online food orders, using tools like SQLMesh, dbt, and React.
Cloud Platform - Data Engineer
Build and maintain data pipelines and ML infrastructure for robotics telemetry at a food-tech company, using BigQuery, Argo Workflows, Kubernetes, and Python.
Engineering Manager - Data Engineering & Insights
Lead a team building real-time and batch data pipelines, semantic layers, and AI-driven insights for restaurant merchants using React, TypeScript, Java, and modern data tools like dbt and ClickHouse.
Data Governance and Quality Analyst
Analyst maintains data lineage documentation, gathers stakeholder input, and supports data quality reviews for Morgan Stanley’s financial services systems.
Research Data Engineer
Build and optimize data pipelines for health-disparities research, maintaining a large relational database in Azure and automating ETL workflows with Python/R and SQL.
Vice President, Enterprise Data Governance and Strategy
Lead enterprise data governance and strategy for a global music company, ensuring accurate, compliant data across rights, royalties, fan engagement, and AI initiatives.
Senior Data Platform Engineer
Senior engineer building and running NextGen’s cloud data platform (Snowflake, AWS) to power finance, sales, HR and executive analytics with ELT pipelines, governance and AI initiatives.
Senior Data Platform Engineer (Remote)
Build and automate scalable, self-service data infrastructure for a crypto exchange, focusing on PostgreSQL/Aurora reliability, fleet-wide automation, and SRE practices to reduce operational toil.
Data Engineer (Remote)
Build and maintain healthcare claims data pipelines, ensuring accurate aggregation and provider matching to support financial and clinical systems using SQL Server, PostgreSQL, and Snowflake.