Updated November 3, 2026
Find data engineer jobs in the United States from company career pages, all in one list, including roles that never reach LinkedIn or Indeed. Employers also post this role as Analytics Engineer, ETL Developer, Big Data Engineer and Data Platform Engineer.
Sailorhealth · New York City (Soho) · On-site
Field-Ai · Irvine, CA · On-site
SpaceX · Redmond, WA · $125K/yr - $200K/yr
Coinbase · Hybrid - San Francisco, CA · Hybrid · $50/hr
Coinbase · Hybrid - New York, NY · Hybrid · $50/hr
Coinbase · Remote - USA · Remote · $191K/yr - $225K/yr
Based on the newest listings. Not every posting states pay, level, or skills.
Data engineers build the pipelines and warehouses that move and store a company's data. Postings usually name SQL, Python, Spark, Airflow or dbt, and a warehouse such as Snowflake, BigQuery, or Redshift.
JobLookout collects Data Engineer openings in the United States from company career pages and puts them in one list, including roles that never get posted on LinkedIn or Indeed. Open a role and apply on the company's career page.
Recent listings include roles at SpaceX, Coinbase, Coupang, Sailorhealth, Field-Ai and SupplyHouse.com. The company name is on every listing, so you always know who is hiring.
Recent listings are in New York, Redmond, San Francisco, Mountain View and Hawthorne, plus remote roles open to people based in the United States.
Yes. Recent remote listings include roles at Coinbase, SupplyHouse.com and Headway. On-site and hybrid roles are listed too. The work-mode filter narrows the list to remote only.
Skills that come up most in recent listings: SQL, Python, dbt, Java, Snowflake, AI, Data modeling, Airflow. Each posting lists its own requirements, so read the full description before you apply.
Among recent listings that show pay, the typical posted range is $160K–$219K a year. Many postings leave pay out, and the range depends on level and location.
Some recent listings mention visa sponsorship, including roles at Profound. Sponsorship depends on the company and the country, so confirm it in the posting before you apply.
This list groups related titles, including Analytics Engineer, ETL Developer, Big Data Engineer and Data Platform Engineer, so you are not searching one keyword at a time.
Recent listings range from internship to director. Experience level is a filter, from intern and new grad through entry, mid, senior, lead, and director, so you only see Data Engineer roles at your level.
Employment type is its own filter: full-time, part-time, contract, and internship. Pick the one you want and the rest drop out of your list.
Yes. This page is Data Engineer openings located in the United States, including remote roles that still require the United States.
Yes. Data Engineer jobs are also listed for India, Canada, United Kingdom, Poland, Singapore and Germany. You can switch the country at any time.
Worth checking before you apply: whether the work is reporting, pipelines, or models; the stack they name, and whether it is the one you use; how much of the job is stakeholder work versus building.
Open a role from your list and follow its apply link to the company's career page. You complete the application there.
This page refreshes every hour, and new openings are added as they appear on company career pages. Sort the full list by date to see the newest first.
No. You can open the list, read a role, and apply on the company site without an account. An account is only used for saved jobs, Copilot, and the resume tools.
Yes. Paid plans include resume tools, including tailoring your resume to a specific posting before you apply.
Similar roles include Machine Learning Engineer, AI Engineer, Research Scientist, AI Trainer / Data Annotator and Data Scientist.
