Data Engineer Jobs
Live US data engineer openings refreshed daily. Each listing is scored against your profile for fit and success odds, tagged with salary band when posted, Glassdoor rating when available, and a layoff-risk flag drawn from public filings. Filter by seniority, remote vs onsite, language, tools, and company. No signup to browse.
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Live US data engineer job listings with salary, Glassdoor, and layoff-risk signals, scored against your profile.
Frequently asked questions
- How often are these data engineer job listings updated?
- The catalog refreshes daily. Listings are pulled from company career pages and ATS feeds (Greenhouse, Lever, Workday, Ashby), deduplicated by employer plus posting fingerprint, and dropped from the index when the underlying job posting goes 404 or is marked filled. A listing that disappears from the source typically falls off this page within 24 hours.
- What does the success-odds score mean on each data engineer listing?
- Success odds combine the listing's required skills against your concept vector from problems solved, the company's tier (FAANG vs mid-market vs startup), the seniority band, and the historical interview-to-offer rate for similar candidate profiles. A score of 70 means a candidate with your current skill mix who applies to listings like this gets an offer roughly 70 percent of the time. Anonymous visitors see a generic version of the score based on the listing alone.
- Where do the salary bands on these data engineer jobs come from?
- The posted salary band when the job description includes one (required by NYC, CA, CO, WA, and a growing list of states). Otherwise the field is null, not interpolated. We do not fill in a guessed salary because a wrong number is worse than a missing one for application decisions.
- What is the layoff-risk flag and how is it computed?
- A binary flag on listings from public companies that have announced layoffs in the past 180 days, or whose latest 10-Q shows declining revenue with rising operating loss. The flag is informational, not a filter. A company can be in layoffs and still be a great team to join; the flag exists so the signal is visible at scan time.
- Why are only US data engineer jobs listed?
- The pipeline currently only ingests US and Canada listings (enforced in the listings SQL). Work-authorization signal, salary-band laws, and ATS feed coverage are reliable enough on this slice to give honest information. Extending to EU and UK listings is on the roadmap but not live yet.
- Can I apply directly from the data engineer job listings page?
- Yes. Every listing links out to the employer's apply page (the direct ATS link when available, otherwise the company career page). Clicks are routed without an intermediate tracker so the application lands on the employer's side immediately, with the original UTM parameters preserved.
- Roughly what share of these data engineer jobs are remote?
- About 4 percent of the served catalog is flagged remote-eligible by the employer in the parsed posting. The number is small because many companies that allow remote do not say so in the JD, and the parser is conservative. Use the Remote filter on the left rail to see the explicit set; expect under 100 listings at any time.
- Does the data engineer jobs page support filtering by tech stack?
- Yes. The Languages filter narrows by Python, SQL, Java, Scala, PySpark. The Tools filter narrows by AWS, Snowflake, Spark, Databricks, Azure, GCP, Airflow, Kafka, dbt, Redshift, BigQuery, and others. Filters compose; selecting Snowflake plus Airflow returns only listings that mention both in the parsed JD.
Canonical URL: https://datadriven.io/data-engineer-jobs