Engineering · Salary Guide
Data Engineer Salary Guide (2026)
Data engineer compensation in the US ranges from about $100k for new grads to over $500k total comp for staff data engineers at top consumer tech. This guide breaks down the numbers by experience, city, and company — and the pipeline, warehousing, and streaming skills that move offers up-band.
US national median (base salary)
$165k
Total compensation typically runs 30–60% above base at public tech companies.
Salary by experience level
| Experience level | Base salary (US national) |
|---|---|
| Entry (0–2 yrs) | $100k – $150k |
| Mid (3–5 yrs) | $140k – $200k |
| Senior (6–9 yrs) | $180k – $275k |
| Staff / Principal (10+ yrs) | $255k – $430k |
Salary by city
Base salary ranges adjusted by local market multipliers. Click through for the full city guide with tax notes and cost-of-living context.
| City | Adjusted range | Market note | |
|---|---|---|---|
| San Francisco | $189k – $371k | Highest base salaries in the US but COL roughly 2x national average. | Full guide |
| New York | $179k – $352k | Finance premium for quant/fintech roles. Strong Big Tech satellite offices. | Full guide |
| Seattle | $168k – $330k | No state income tax. Dominated by Amazon and Microsoft; AWS roles pay a premium. | Full guide |
| Austin | $147k – $289k | Lower base salaries but strong take-home due to zero state tax and ~40% lower housing costs than SF. | Full guide |
| Los Angeles | $161k – $316k | Strong media/entertainment tech market. Base salaries below SF but above most US markets. | Full guide |
| Remote (US) | $133k – $261k | Remote-first companies typically pay at 85–105% of SF rates regardless of employee location. | Full guide |
Top employers and their ranges
Airbnb birthed Airflow; deep data-platform culture
Real-time pipeline scale commands premium
Single-tier senior ladder; cash-heavy compensation
Data engineering parity with SWE ladder
BigQuery / Dataflow specialists paid top of band
Financial-grade data quality requirements
Skills that boost salary
Negotiation tactics
- 1Quantify pipeline reliability and cost. 'Cut warehouse spend 41% while adding 3 new source systems' is the metric that moves data-engineering offers — lead with numbers, not tools.
- 2Target the SWE ladder, not the separate 'Data Engineer' ladder where one exists. At Meta and Google, data engineers sit on the SWE band; at lower-tier companies they're often on a -10 to -15% band.
- 3Push for ownership of a production-critical system in year 1. Data engineers who own the feature store, experimentation pipeline, or revenue-reporting pipeline climb the ladder fastest.
- 4Use your dbt/Snowflake cert stack for leverage. Certifications add $8–15k in negotiation at enterprises with Snowflake partnerships. List them prominently on resume and LinkedIn.
- 5If joining a pre-Series-B startup, pair data engineering with ML infra responsibilities. The combined scope typically commands a staff-level band even at lower ICs.
FAQ
What is the average data engineer salary in the US?
As of 2026, the median base salary for a US data engineer is about $165,000, with mid-level ranges of $140k–$200k. Total comp at large tech companies typically adds 35–55% through equity and bonuses.
Do data engineers make more than data scientists?
At the senior/staff level in 2026, data engineers and data scientists are at parity — within a few thousand dollars at most companies. At the entry level, data engineering tends to pay 5–10% more because infrastructure skills are scarcer and harder to bootstrap.
How much do data engineers make at Airbnb or Netflix?
Airbnb data engineers at L4 earn about $300k–$420k total comp, and L5 lands $400k–$560k. Netflix's single-tier 'Senior' band pays $440k–$680k total comp, mostly in base salary rather than equity. Both have extremely high interview bars for platform experience.
Does knowing Spark or Snowflake pay more?
Deep production experience with Spark adds 8–15% to offers at companies running Spark at scale (Databricks, Netflix, Uber). Snowflake expertise commands a similar premium at enterprises. Having both — plus dbt — puts you in the top quartile of data engineering offers.
Related Data Engineer Resources
Sources: US Bureau of Labor Statistics — Occupational Employment and Wages, May 2025 · Levels.fyi aggregated offer data (Q1 2026) · Built In salary reports (2026) · Glassdoor compensation data (April 2026)
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