Data Engineer salary by region
| Region | Typical annual pay |
|---|---|
| United StatesNational range; SF/NYC skew higher. | $110,000 – $160,000 |
| United KingdomNational range; London skews higher. | £85,000 – £125,000 |
| European UnionVaries widely by country. | €100,000 – €145,000 |
Ranges are directional benchmarks for budgeting, not offers. Actual pay depends on location, company stage, and the candidate’s track record.
What moves a Data Engineer’s salary
Seniority is the biggest lever (mid–senior is the common band for this role), followed by the depth of these skills:
- 3+ years building production data pipelines with Python, SQL, or Java
- Experience with at least one modern data warehouse (Snowflake, BigQuery, Redshift, or Databricks)
- Proficiency in a workflow orchestration tool (Airflow, dbt, Prefect, or equivalent)
- Strong SQL skills—you can write complex queries and optimize slow ones without help
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and their data services
- Understanding of data modeling principles and ability to design schemas for both analytics and operational use
Why companies pay for a Data Engineer
SMBs are drowning in disconnected data sources and slow reporting. They need someone who can build a real data stack—not just queries, but the plumbing that lets the whole business trust and act on data.
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