Data Engineering Jobs in United States
There are 5,683 open Data Engineering jobs in United States on freehire right now. 1,445 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 | $208,756 | 975 |
| USD | hour | $61 | $70 | $87 | 23 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- analytics 52%
- cloud 52%
- sql 51%
- python 50%
- data-engineering 50%
- data-pipelines 45%
- ai 44%
- data-quality 39%
How the work is done
- Remote 976 · 17%
- Hybrid 769 · 14%
- Onsite 286 · 5%
Visa sponsorship offered in 32% of the 1,009 postings that state a position on it.
Seniority
- Senior 1,713
- Lead 467
- Staff 245
- Principal 162
- C-level 117
- Junior 79
Who is hiring
- 1000+ employees 1,133
- 501-1000 employees 495
- 51-200 employees 121
- 11-50 employees 83
- 201-500 employees 24
- 1-10 employees 7
Lead Data Platform Engineer (AWS)
Lead a team building secure, scalable AWS data platforms using Python, Java, and Terraform to deliver trusted AI/ML and data solutions for JPMorganChase’s Corporate Sector.
Data Engineer III - UI/Java/React/Agentic AI
Designs and maintains secure, scalable data pipelines and storage for wealth-management analytics using Python, SQL, AWS, and NoSQL.
Software Engineer III - Data Platform/AI Engineer (Python/AWS)
Builds and maintains Python/AWS-based AI and data platforms for JPMorgan Chase, writing secure production code and leveraging enterprise AI coding tools to improve system stability and delivery speed.
Manager of Business Intelligence and Data Governance
Manage BI tools (Sigma, Looker) and data governance at Purple, delivering reports from Snowflake to business users, building a data glossary, monitoring PII security, and leading a small BI developer team.
Sr Data Engineer
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines and lakehouse datasets to power analytics, ML, and business applications at Hertz.
Software Engineer, Data Engineering I (Hybrid)
Build and maintain data pipelines in a hybrid role, assisting with ingestion, transformation, and automation using tools like Kafka, Spark, and Kubernetes at an aerospace/defense company in Puerto Rico.
Lead Data Platform Engineer - Enterprise Scheduler (AWS)
Lead the design and modernization of an enterprise scheduler platform on AWS MWAA, migrating legacy AutoSys workloads to a multi-tenant, multi-account architecture using Python, FastAPI, Terraform/CloudFormation, and core AWS services.
Senior Data Engineer
Lead the design and build of scalable batch and real-time data pipelines using Python, SQL, and cloud platforms like AWS/Azure/GCP for analytics and AI solutions.
Data Engineer
Data Engineer building scalable, secure data platforms that power analytics, AI, regulatory reporting, and business decision-making at Barclays using SQL, Spark, big data technologies, and cloud-based platforms.
Scientific Data Engineer Consultant
Scientific Data Engineer Consultant designing and maintaining AWS-based data pipelines (Glue, Aurora, Redshift) using Python to ingest and transform scientific instrument data for pharmaceutical/biotech clients in CRO/CDMO environments.
Principal Engineer Data Engineering
Principal Engineer designs and builds scalable data pipelines, cloud data warehouses, and modern data architectures to power analytics and business decisions using SQL, Python, and cloud platforms.
Sr Data Engineer
Design, build, and maintain large-scale data pipelines and ETL processes across cloud platforms (AWS, Azure, GCP) using Python, Spark, and SQL while mentoring junior engineers and collaborating with stakeholders.
Senior Data Engineer
Senior Data Engineer designing and building scalable Azure Databricks-based data pipelines, ETL processes, and lakehouse architectures using Python, SQL, Apache Spark, and Delta Lake at a law firm.
Sr Data Engineer
Designs and optimizes data pipelines for Disney/ESPN’s marketing analytics, ingesting vendor data (paid media, attribution, etc.) into Databricks/Snowflake for reporting and dashboards.