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What Data Engineer job postings ask for

Python appears in 81% of Data Engineer job postings, followed by SQL (81%) and Airflow (58%) — counted across 57 live postings from company career sites.

Every term below was counted in real postings published by employers. We tally what each posting names at least once, so one keyword-stuffed listing can’t inflate a number.

Counted across 57 Data Engineer postings gathered from company career sites and seen in the last 90 days. Percentages are the share of those postings naming each term. Last verified against live postings on ; re-checked every six hours.

Skills and tools, most-asked first

  1. Python81% · 46 of 57
  2. SQL81% · 46 of 57
  3. Airflow58% · 33 of 57
  4. Spark56% · 32 of 57
  5. Databricks42% · 24 of 57
  6. Scala33% · 19 of 57
  7. AWS33% · 19 of 57
  8. dbt32% · 18 of 57
  9. Snowflake26% · 15 of 57
  10. Java23% · 13 of 57
  11. Flink18% · 10 of 57
  12. S318% · 10 of 57
  13. Dagster18% · 10 of 57
  14. GCP16% · 9 of 57
  15. Prefect14% · 8 of 57
  16. Kubernetes14% · 8 of 57
  17. Delta lake14% · 8 of 57
  18. Iceberg12% · 7 of 57
  19. Terraform12% · 7 of 57
  20. Git12% · 7 of 57
  21. Kafka12% · 7 of 57
  22. Apache iceberg11% · 6 of 57
  23. Pyspark11% · 6 of 57
  24. PostgreSQL11% · 6 of 57
  25. Trino11% · 6 of 57

Questions about this data

What skills do most Data Engineer job postings ask for?

Across 57 Data Engineer postings from the last 90 days, the most frequently named are Python (81%), SQL (81%), Airflow (58%). Each percentage is the share of those postings naming the term at least once.

How common is Java in Data Engineer postings?

Java appears in 23% of the 57 Data Engineer postings counted — roughly 13 of them. That places it mid-pack rather than near-universal, which is worth knowing before you rewrite a résumé around it.

Where does this Data Engineer data come from?

Public job postings published by employers on their own career sites, collected through the official Greenhouse, Lever and Ashby job-board APIs. It is a count of 57 real postings seen in the last 90 days — not a survey, an estimate, or a model's guess.

Should I add these skills to my résumé?

Only the ones you genuinely have. Frequency tells you which terms to surface and phrase in the employer's own words if they are already true of you. Adding a skill you can't defend is the fastest way to fail an interview, so FreshStartr reports gaps rather than writing them in.

Other roles we track

Which of these does your résumé actually evidence?

Paste a Data Engineer posting and you get a line-by-line match report: what you already prove, and what you don’t. Gaps are reported, never written in for you.

Check my résumé