Data Engineer (Databricks/Snowflake) Salary in United States 2026: Benchmarks, Range & Skills

The median Data Engineer (Databricks/Snowflake) salary in United States is $160K in 2026. The typical range runs from $143K at the 25th percentile to $167K at the 75th percentile, based on published market compensation data.

Data Engineer (Databricks/Snowflake) salaries have moved +9.3% year-on-year in United States.

Data Engineer (Databricks/Snowflake) salaries vary across United States. San Francisco Bay Area leads at $188K (+18% vs the national benchmark), while Atlanta sits at $135K. Use the city breakdown above to compare all locations.

A Data Engineer (Databricks/Snowflake) earning the median $160K gross in United States will take home a net amount after income tax and other deductions. Use the PayMetric Labs take-home calculator on this page for an exact breakdown by tax band.

Principal/Lead-level Data Engineer (Databricks/Snowflake)s in United States earn the most, with a median of $248K, compared to $110K at entry level. Seniority is the strongest single driver of pay in this role.

On a 3-day hybrid schedule with a typical US commute ($12/day travel, 60-minute round trip, daily meal premium, annual wardrobe costs), your true net income at $160K is approximately $104,670 per year, compared to $120,626 net without any commute. The commute costs $15,956 per year in direct expenses and lost time. A fully remote role paying $136,700 would leave you equally well off.

Assuming a 3-day hybrid schedule with typical commute costs, you would need a remote salary of at least $136,700 to match the true net value of a $160K hybrid Data Engineer (Databricks/Snowflake) role in the US. For a 5-day fully in-office role, the break-even remote salary rises to $121,600, as the higher office frequency increases travel, meal, and time costs significantly.

On a 3-day hybrid schedule with a 60-minute round trip, a Data Engineer (Databricks/Snowflake) in the US spends approximately 144 hours commuting per year, equivalent to 18 full working days. Valued at the implied hourly rate for a $160K salary ($83/hr), that time is worth $12,000 annually.

As more employers in the US reintroduce hybrid or full in-office mandates in 2026, the true value of a Data Engineer (Databricks/Snowflake) salary depends increasingly on the number of required office days. At $160K, each additional day in the office costs roughly $5,152 per year in direct and time costs (moving from 3 to 5 days). Candidates evaluating offers should compare true net income rather than gross salary alone.

This benchmark is derived from verified market compensation data and is rated High Confidence. High Confidence means the benchmark is corroborated across independent sources and is citation-ready. Moderate Confidence is directional context while coverage is still building. Limited Market Data means early signals only.

An indicative year-over-year signal of +9.3% is available from the latest market research for this role. This figure is directional market research rather than a matched prior-year observation in our own dataset.

Research-reported year-over-year movement is an indicative 9.3% (not a matched prior-year observation).