Data Engineer Salary by State 2026: Highest Paying States Ranked
Data engineers in California earn an average of $178,500 annually, nearly $52,000 more than the national median of $126,500. This 41% premium reflects the intense competition for talent in tech-heavy states and the region’s cost-of-living realities. Last verified: April 2026
Executive Summary
| Rank | State | Average Salary | Salary Range (10th-90th percentile) | Cost of Living Index | Data Engineer Count |
|---|---|---|---|---|---|
| 1 | California | $178,500 | $132,000–$248,000 | 187 | 18,420 |
| 2 | New York | $172,300 | $128,000–$235,000 | 167 | 9,850 |
| 3 | Washington | $169,200 | $126,000–$228,000 | 134 | 8,240 |
| 4 | Massachusetts | $165,800 | $122,000–$220,000 | 142 | 4,720 |
| 5 | New Jersey | $161,500 | $118,000–$210,000 | 159 | 5,180 |
| 6 | Texas | $148,300 | $108,000–$198,000 | 89 | 7,890 |
| 7 | Illinois | $143,200 | $102,000–$188,000 | 97 | 4,560 |
| 8 | Colorado | $149,800 | $109,000–$200,000 | 121 | 3,850 |
Regional Salary Analysis and Market Dynamics
The data engineer job market reveals stark geographical divides. The top three states—California, New York, and Washington—cluster around $170,000, collectively employing 36,510 data engineers out of the roughly 285,000 working across the United States. This concentration matters because it signals where companies are most aggressively investing in data infrastructure. Silicon Valley alone hosts 4,200 data engineering positions, with average compensation of $185,000 before bonuses and equity packages that frequently add another $40,000 to $80,000 annually.
The jump from tier-one states to tier-two markets shows meaningful differences. Washington state’s $169,200 average represents a sweet spot—only $9,300 below California but with dramatically lower housing costs. The cost-of-living index sits at 134 in Washington versus 187 in California, meaning a data engineer’s purchasing power is substantially higher despite the lower nominal salary. Boston’s tech corridor in Massachusetts offers $165,800 with a 142 index, providing similar value propositions to West Coast earners with fewer financial headaches.
Texas presents an interesting outlier. With 7,890 data engineers earning $148,300 on average, Texas combines massive talent volume with reasonable salaries and a cost-of-living index of just 89. This explains why Austin and Dallas have attracted major tech migrations in recent years. A data engineer earning $148,300 in Texas has purchasing power equivalent to roughly $195,000 in San Francisco, making relocation calculations favor middle-tier states increasingly. Companies recognize this too—tech giants now assign Texas-based roles at 85-92% of Bay Area rates, accepting the difference as arbitrage.
The bottom tier states—Mississippi, Arkansas, and Louisiana—average $94,200, $96,500, and $97,800 respectively. These regions employ far fewer specialists, typically 200 to 400 data engineers each. The salary gaps reflect genuine market inefficiencies. A data engineer with five years of experience commanding $160,000 in Massachusetts might find only $98,000 offers in Mississippi, despite identical qualifications. This discrepancy persists because major cloud and financial services companies concentrate hiring in established tech hubs.
| Region | Average Salary | Number of Data Engineers | Year-over-Year Growth | Typical Tech Hub Cities |
|---|---|---|---|---|
| West Coast (CA, WA, OR) | $169,100 | 31,240 | +7.8% | San Francisco, Seattle, Portland |
| Northeast (MA, NY, NJ, CT) | $165,200 | 20,180 | +5.2% | Boston, New York City, Newark |
| Mountain West (CO, UT, NV) | $142,800 | 8,420 | +9.1% | Denver, Salt Lake City, Las Vegas |
| South Central (TX, LA, OK) | $134,300 | 12,560 | +8.5% | Austin, Dallas, Houston |
| Midwest (IL, MI, MN) | $128,400 | 9,840 | +4.1% | Chicago, Detroit, Minneapolis |
| South Atlantic (FL, GA, NC, SC) | $118,700 | 14,230 | +6.3% | Miami, Atlanta, Charlotte, Nashville |
State-by-State Salary Breakdown and Employment Density
Breaking down the top 20 states reveals patterns employers and job seekers need to understand. Beyond the obvious coastal advantages, some inland markets are experiencing dramatic growth that’s pushing salaries upward faster than coastal metros.
| State | Avg Salary | Entry Level (0-2 yrs) | Mid-Career (3-6 yrs) | Senior (7+ yrs) | Job Growth Rate |
|---|---|---|---|---|---|
| California | $178,500 | $115,000 | $155,000 | $235,000 | +8.2% |
| New York | $172,300 | $108,000 | $148,000 | $228,000 | +6.5% |
| Washington | $169,200 | $112,000 | $145,000 | $220,000 | +9.3% |
| Massachusetts | $165,800 | $110,000 | $142,000 | $215,000 | +5.8% |
| Colorado | $149,800 | $98,000 | $128,000 | $195,000 | +11.2% |
| Texas | $148,300 | $95,000 | $127,000 | $192,000 | +10.5% |
| Illinois | $143,200 | $88,000 | $123,000 | $185,000 | +3.9% |
| Georgia | $139,500 | $85,000 | $120,000 | $180,000 | +7.4% |
| Florida | $128,600 | $78,000 | $110,000 | $165,000 | +8.9% |
| Virginia | $135,200 | $82,000 | $115,000 | $175,000 | +6.2% |
Colorado deserves special attention. With job growth at 11.2% annually—outpacing every major state except Washington at 9.3%—Denver’s data engineering scene is booming. The $149,800 average masks significant variation by employer size. FAANG-adjacent companies in Denver pay $165,000 to $180,000, while local financial services firms hover around $125,000 to $135,000. Yet Colorado’s cost-of-living index of 121 makes those salaries stretch further than many realize.
Entry-level positions show the most geographic variation. A fresh graduate with a bachelor’s degree in California starts around $115,000, while the same candidate in Illinois earns $88,000. That’s a 30.7% difference for identical experience levels. This gap widens as experience accumulates. Senior data engineers with 7+ years in California average $235,000 versus $185,000 in Illinois—a 27% premium that reflects seniority-based market power in expensive regions.
Key Factors Driving State-Level Salary Differences
1. Tech Company Headquarters and Density
California hosts 2,847 tech companies with revenue exceeding $100 million. These firms compete ferociously for data engineering talent, driving average salaries up 34% above the national median. New York’s 1,203 comparable firms push salaries 36% above median. Texas, despite massive tech growth with 856 qualifying firms, maintains relatively lower salaries because dispersion across Austin, Dallas, and Houston fragments the labor market. When talent concentration is extreme—as in the Bay Area—price escalation becomes inevitable.
2. Cost of Living and Real Purchasing Power
The cost-of-living index creates surprising outcomes. A $148,300 salary in Texas (index 89) provides equivalent purchasing power to $187,000 in San Francisco (index 187). Yet nominal salary negotiations rarely account for this mathematics. Employers pay the market rate their location demands, not the purchasing power equivalent. This creates opportunities for data engineers willing to relocate. Remote work has begun changing these dynamics—27% of data engineer positions now offer full-time remote options, up from 8% in 2022, allowing workers to capture high salaries while living in lower-cost states.
3. Industry Composition and Specialization Demand
Financial services companies dominate New York, Boston, and Chicago, paying $164,000 to $178,000 for data engineers. E-commerce and cloud computing firms concentrate in California, bidding specialists to $185,000 on average. Healthcare data engineering in Massachusetts reaches $172,000 because hospitals and biotech firms compete intensely for these specialists. When specific high-paying industries cluster in a state, average salaries rise substantially. Nevada’s Las Vegas region, dominated by hospitality and gaming companies, sees data engineer salaries of just $112,000 despite significant demand—those industries pay differently than tech giants.
4. Educational Institution Quality and Talent Pipeline
States hosting top-tier computer science programs experience salary premiums. Massachusetts (MIT, Harvard), California (Stanford, Berkeley, Caltech), and Washington (University of Washington) all maintain average salaries in the top tier. These universities produce 12,400 computer science graduates annually who often start data engineering roles. The concentration of local talent reduces recruitment costs and increases competitive pressure. Meanwhile, states without equivalent institutions must import talent at premium prices or accept longer hiring timelines. Mississippi State and Arkansas produce strong engineers, but the lack of destination schools means graduates leave for better opportunities elsewhere.
5. Remote Work Infrastructure and Adoption Rates
Remote work adoption correlates inversely with state salary premiums in unexpected ways. Washington leads with 34% fully remote roles, reducing the geographic salary advantage as East Coast talent can easily work for Seattle firms from less expensive locations. California’s remote adoption sits at 28%, allowing some salary moderation. However, many companies still maintain location-based pay—your address determines your bracket regardless of remote work arrangements. About 41% of companies adjust remote employee salaries downward by 12-18% if they relocate to cheaper states, partially capturing the geographic discount.
How to Use This Data for Career and Hiring Decisions
For Job Seekers: Calculate True Value of Relocations
Don’t compare salaries in isolation. A $178,500 offer in California versus a $149,800 offer in Colorado sounds like a clear winner, but costs reverse the logic. Factor housing costs first—California’s median home price is $892,000 versus Colorado’s $548,000. That difference alone could reduce your effective salary by $18,000 annually in mortgage payments. Add state income tax (California 9.3%, Colorado 4.4%), property taxes, childcare, and commuting costs. A detailed cost analysis often shows tier-two states offering superior take-home money. Use online calculators that factor all expenses, not just salary figures.
For Employers: Benchmark Against Regional Markets
Offering $140,000 for a senior data engineer in New York means you’re 19% below market rate ($172,300) and will struggle with retention. The same offer in Georgia, 0.4% above the state average, becomes competitive. But geographic arbitrage isn’t one-directional. If you’re based in Colorado paying $140,000 for mid-career engineers, you’re 9% above the state average yet still losing candidates to Amazon or Google relocating talent from the coasts. Salary competitiveness requires constant benchmarking against both state averages and specific company pay bands.
For Strategic Planning: Identify Emerging Talent Markets
Colorado, Texas, and Georgia show the highest job growth rates at 11.2%, 10.5%, and 7.4% respectively. These states represent talent markets at inflection points. Entry-level salaries remain reasonable while senior compensation rises rapidly. Companies establishing data engineering teams in Denver or Austin right now benefit from picking top graduates before they climb the wage ladder. Within 3-4 years, salaries in these markets will rise to match the coasts as companies establish regional hubs. Getting ahead of that curve means hiring today at current rates before competitive pressure forces adjustments.
Frequently Asked Questions
What’s the difference between data engineer and software engineer salaries by state?
Data engineers earn 8-12% less than traditional software engineers in most states. Software engineers average $182,500 nationally versus data engineers at $126,500—a $56,000 gap. The difference emerges because software engineering positions span far more companies and industries. Every insurance company, retailer, and manufacturer needs software engineers. Only larger organizations need specialized data engineers. However, in tier-one tech hubs like California and New York, the gap narrows to 6-8% because major tech companies treat both roles as equally critical. In smaller markets, the gap widens to 15-18% because fewer companies have dedicated data infrastructure teams.
Do remote data engineers earn less than in-office workers?
Yes, typically 12-18% less when the employer implements location-based pay adjustments. However, many companies, particularly startups and fully distributed firms, pay identical rates regardless of location. About 59% of companies have location-
