Data Engineering Jobs in United States
There are 5,862 open Data Engineering jobs in United States on freehire right now. 1,321 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 | $174,800 | $210,000 | 952 |
| USD | hour | $59 | $70 | $91 | 22 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- analytics 54%
- cloud 52%
- sql 52%
- data-engineering 51%
- python 51%
- data-pipelines 46%
- ai 45%
- data-quality 40%
How the work is done
- Remote 1,008 · 17%
- Hybrid 816 · 14%
- Onsite 293 · 5%
Visa sponsorship offered in 32% of the 1,008 postings that state a position on it.
Seniority
- Senior 1,704
- Lead 500
- Staff 255
- Principal 167
- C-level 123
- Junior 81
Who is hiring
- 1000+ employees 1,124
- 501-1000 employees 499
- 51-200 employees 121
- 11-50 employees 80
- 201-500 employees 25
- 1-10 employees 6
Technical Consultant- Enterprise Data Engineer
Designs and implements enterprise geospatial databases for government clients, configuring secure, scalable systems using Oracle, SQL Server, PostgreSQL, or SAP HANA and Esri’s ArcGIS tools.
Seasoned Data Engineer — Python, AWS, GenAI, Big Data
Lead Data Engineer builds and optimizes data pipelines using Python, SQL, and AWS to solve complex business problems at a large fintech company.
Senior Manager, Data Engineering
Leads data engineering teams to build and maintain ETL pipelines, data warehouses, and ML pipelines using SQL, Spark, and cloud platforms like Snowflake or Fabric, ensuring reliable data for analytics and AI initiatives.
Connected Data Engineer
Lead cross-functional teams to detect and resolve vehicle diagnostic issues using connected data and analytics for Ford’s new vehicle launches.
Data Engineer, gTech Users and Products Engineering
Designs and maintains scalable data pipelines and warehouses, leveraging AI and distributed systems to support Google’s product ecosystem and user needs.
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.