Data Engineering Jobs in United States
There are 5,864 open Data Engineering jobs in United States on freehire right now. 1,323 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 1,010 · 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 1,705
- Lead 501
- 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
Data Governance Lead
Build and operationalize a modern data governance capability by implementing automated controls, metadata standards, and security policies across enterprise data products to ensure trusted, discoverable, and AI-ready data.
Data Engineer (Remote Opportunity)
Build and maintain secure, scalable data pipelines and analytics platforms in Azure for a federal healthcare project, using Python, Spark, SQL, and Power BI.
Vice President, Data Engineering
Lead AXS’s global data engineering team, building and scaling data pipelines, warehouses, and real-time systems that power analytics, personalization, and fraud prevention for live-event ticketing.
Werkstudent als Data Engineer (m/w/d)
Build data pipelines, dashboards, and analytics infrastructure for a large financial services company using agile methods.
Cloud Data Platform Sales Representative, SLED - NY City
Sell Oracle’s cloud data platform (IaaS/PaaS) to State & Local Government agencies in NYC, building territory account plans and closing deals with technical and business stakeholders.
Staff Data Engineer
Architect and lead enterprise-scale data platforms, MDM, and agentic AI integrations (RAG, LLM workflows) in cloud-native environments, while setting engineering standards and mentoring teams.
Staff Data Engineer
Architect and lead enterprise-scale data platforms, MDM, and agentic AI systems, building scalable pipelines and trusted data foundations for analytics and AI-driven applications.
Data Engineer
Designs and maintains scalable data pipelines, warehouses, and lakes to support analytics and AI initiatives using Python, SQL, Spark, and cloud platforms.
Senior Data Engineer
Build and maintain data pipelines, cloud infrastructure, and ML models to drive operational decisions and AI initiatives in healthcare diagnostics.
Legal Data Engineering, Assistant Vice President
Build and maintain Legal data pipelines, models, and AI-enabled tagging systems using Databricks, SQL, and relational databases to ensure accurate, high-quality data for reporting and compliance.
Data Governance & Data Quality Technical Analyst
Design and enforce data governance policies for a health-insurance payer, using tools like Alation or Collibra to ensure HIPAA-compliant data quality and lineage across systems.
Amazon Data Engineer , AWS Infrastructure Supply Chain Intelligence
Build and maintain AWS data pipelines for AWS’s global infrastructure supply chain, enabling predictive analytics and operational insights for data-center hardware logistics.
Senior Lead Software Engineer- Data Engineer, Pyspark, Databricks
Lead a team building and scaling a secure, AI-driven KYC and risk platform using Python/Java, Databricks, Spark, and cloud-native tools to process large-scale financial data.
Data Engineer Lead
Lead a team to design, build, and maintain data pipelines that feed enterprise analytics and AI initiatives, ensuring data quality and governance across Huntington’s fintech systems.
Data Engineering Manager
Lead a team of data engineers to build and maintain Sidley’s enterprise Databricks Lakehouse platform, setting technical standards and ensuring scalable, governed data solutions using PySpark, Delta Lake, and Azure Databricks.
Wholesale Business Data Steward Manager
Manages critical data elements and governance for a financial institution, defining quality rules, privacy policies, and retention standards while ensuring compliance with regulations.
Senior Data Engineer
Senior Data Engineer builds and optimizes data pipelines, warehouses, and lakes for Prudential’s financial reporting, using Python, Spark, SQL, and cloud tools like AWS and Snowflake to enable analytics and modeling.