Data Engineering Jobs in United States
There are 5,623 open Data Engineering jobs in United States on freehire right now. 1,436 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 | $146,900 | $173,550 | $207,800 | 973 |
| USD | hour | $58 | $70 | $80 | 25 |
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 969 · 17%
- Hybrid 759 · 13%
- Onsite 281 · 5%
Visa sponsorship offered in 32% of the 998 postings that state a position on it.
Seniority
- Senior 1,684
- Lead 461
- Staff 242
- Principal 162
- C-level 117
- Junior 78
Who is hiring
- 1000+ employees 1,127
- 501-1000 employees 489
- 51-200 employees 121
- 11-50 employees 83
- 201-500 employees 24
- 1-10 employees 7
Data Engineer
Builds and maintains data pipelines to clean, structure, and deliver market and economic datasets for trading research at a quantitative trading firm.
Senior Director, Data Platform
Lead the design and delivery of modern data platforms for private equity clients, guiding teams to build scalable solutions on Snowflake, Azure, and Databricks while managing budgets, timelines, and client relationships.
Senior Data Engineer – Hardware & Supply Chain
Build and maintain data pipelines and models for Oura’s hardware manufacturing, integrating MES/ERP systems to track production yield, device traceability, and supply chain health.
Senior Data Engineer - Finance
Build and maintain data pipelines and models for Oura's financial data, including revenue, LTV, and Corporate Scorecard, using SQL, Python, and cloud tools like AWS and Databricks.
Senior Software Engineer - Data Platform
Build and operate real-time data processing pipelines and event-driven systems for network monitoring, using Java, Python, Apache Flink, Kafka, and Dagster on Kubernetes in NYC.
Microbiologist IV (Genomic Data Engineer)
Builds and maintains distributed data pipelines for genomic and public health datasets using Hadoop/Spark, enabling outbreak detection and surveillance workflows.
Agentic AI / Data Engineer - DC GPU
Build and harden production Agentic AI systems including embedding pipelines, retrieval strategies, agent memory/context data layers, evaluation infrastructure, and streaming inference integration with serving stacks on DC GPU infrastructure.
Staff Data Engineer
Leads data engineering at Upside, designing scalable analytics platforms (Snowflake, dbt, Dagster) to power ecommerce profit measurement, attribution, and incrementality for brick-and-mortar retailers and consumers.
Agentic AI / Data Engineer - DC GPU
Build production agentic AI systems and data pipelines on AMD Instinct GPU infrastructure, including agent orchestration, memory/context databases, skills frameworks, and evaluation infrastructure using Python, Kubernetes, and LLM serving stacks like vLLM and SGLang.
Data Engineer (DEA)
Data Engineer building ETL pipelines and migrating legacy data for the DEA's case management modernization program using SQL, Python, and cloud data platforms.
Head of Engineering, Data Platform
Lead a small team to design, build, and operate a modern, AI-native data platform in Snowflake and DBT that serves healthcare analytics and LLM applications while enabling self-serve access across the business.
Director of Privacy and Data Governance
Leads Elastic’s global privacy and data governance program, advising on compliance, AI governance, and risk mitigation while managing a team of privacy professionals and collaborating cross-functionally.
Prinicipal, Data Engineer
The Customer Service Representative acts as the primary point of contact for customers, managing inquiries and complaints via phone, email, and chat. The role involves using CRM software to track interactions, troubleshoot product issues, and collaborate with internal teams to improve the customer experience.