Data Engineering Jobs in United States
There are 5,636 open Data Engineering jobs in United States on freehire right now. 1,425 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 | $147,350 | $173,550 | $208,712 | 973 |
| USD | hour | $57 | $69 | $84 | 24 |
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 967 · 17%
- Hybrid 761 · 14%
- Onsite 282 · 5%
Visa sponsorship offered in 32% of the 997 postings that state a position on it.
Seniority
- Senior 1,699
- Lead 464
- Staff 243
- Principal 162
- C-level 116
- Junior 79
Who is hiring
- 1000+ employees 1,123
- 501-1000 employees 490
- 51-200 employees 121
- 11-50 employees 83
- 201-500 employees 24
- 1-10 employees 7
Senior Data Engineer, AI Platform
Senior Data Engineer building and scaling Zip's Data & AI Platform using cloud data platforms (Snowflake, Databricks), Python, SQL, Kafka, and vector search/RAG to power analytics, ML, and GenAI workloads for a Buy Now, Pay Later company.
Principal Data Engineer
Principal Data Engineer designing and executing test plans for BI and Data Warehouse projects. Works with Snowflake, MS-SQL Server, Python, and ETL tools like Talend to develop automated test suites and validate business intelligence reports in Tableau and SSRS.
Senior Data Engineer
Design and maintain scalable data pipelines and infrastructure to process complex chemical data (chromatograms) for ML model training and deployment in a healthcare/climatetech context.
Snowflake Data Engineer
The Snowflake Data Engineer will design, build, and scale cloud data products on Snowflake to support institutional trading, risk management, and regulatory reporting. The role involves end-to-end ownership of data pipelines from ingestion to consumption layers.
Data Engineer
Build and maintain cloud-based data pipelines and ETL workflows in Azure and Microsoft Fabric to ingest, transform, and deliver marketing data for B2B analytics and client reporting.
Data Engineer
Designs and builds scalable data pipelines on AWS to extract insights for a government client, using Python, PySpark, and cloud-native tools while maintaining strict security compliance.
Data Engineer (GovCon | Public Trust Eligibility)
Design and maintain scalable data pipelines and ETL workflows using Python, PySpark, Databricks, and AWS services to build secure, compliant data platforms for federal clients.
Data Steward (Remote Eligible - Costa Rica)
Maintains and improves the quality of sales data in Smartsheet's CRM, ensuring accuracy and accessibility for the Sales team while supporting data governance and reporting needs.
Data Engineer
Designs and maintains data infrastructure for federal government clients, building scalable pipelines and integrating ML models using Python, AWS, and tools like Apache Airflow and Spark.
AI Data Engineer/Analyst/Architect/AI Data Scientist (Strong AI)
Hello, Please find the below requirement and share the sutiable profiles asap. Job Description We are looking for a data engineer with experience in the data analytics space. What we need to see is that a candidate has…
Azure Data Engineer - FTE
Builds and maintains data pipelines, ETL workflows, and SQL-based integrations to transform and validate data for business use. Core focus on SSIS, SQL Server, and performance optimization.
Data Engineer
Builds and maintains scalable RAG pipelines and ETL/ELT workflows in AWS, using Python, Prefect, ElasticSearch, and NiFi to support federal AI and analytics workloads.
Staff Data Engineer
Build and own robust, automated data pipelines that ingest complete patient records from EMR systems, transforming them into clean, trustworthy data for AI-assisted patient-trial matching in a healthcare platform.
Data Engineer - Data Platform
Build and maintain scalable data pipelines and warehouse infrastructure for a climate-tech company using Python, SQL, and Snowflake to power analytics and product data.