Data Engineer Salary by State 2026: Market Trends & Analysis
Data engineers in California earn an average of $156,200 annually—nearly 47% more than their counterparts in Mississippi, where salaries average $106,400. This stark regional divide reflects not just cost-of-living adjustments but fundamental differences in tech infrastructure investment, demand density, and talent competition across America’s 50 states. Last verified: April 2026.
Executive Summary
| State | Average Salary | Entry Level (0-2 yrs) | Mid-Career (3-7 yrs) | Senior (8+ yrs) | Job Postings |
|---|---|---|---|---|---|
| California | $156,200 | $118,500 | $142,800 | $178,900 | 2,847 |
| New York | $148,700 | $112,300 | $138,200 | $169,400 | 1,924 |
| Massachusetts | $151,800 | $114,600 | $140,900 | $172,300 | 1,156 |
| Texas | $132,400 | $98,800 | $122,500 | $151,200 | 1,842 |
| Washington | $149,900 | $113,200 | $139,400 | $170,800 | 1,205 |
| Georgia | $128,600 | $96,100 | $119,300 | $146,700 | 743 |
| Illinois | $127,900 | $95,600 | $118,700 | $145,800 | 681 |
| Florida | $124,300 | $92,900 | $115,400 | $141,600 | 589 |
Regional Salary Analysis: Where Data Engineers Earn the Most
The West Coast maintains its dominance in data engineer compensation, with California, Washington, and the Bay Area commanding premiums that reflect the concentration of major tech companies like Google, Meta, Apple, and Netflix. California’s average of $156,200 sits at the top, but Washington state’s $149,900 average suggests Seattle’s tech boom—driven by Amazon’s massive engineering footprint employing 58,000 people in the state—creates sustained demand that pushes salaries upward. Massachusetts rounds out the top three at $151,800, benefiting from Boston’s biotech and finance sectors that increasingly rely on sophisticated data infrastructure.
The Northeast presents an interesting middle tier. New York state averages $148,700 across all positions, though Manhattan’s finance sector and growing tech presence in Brooklyn skew the average higher. Entry-level data engineers in New York start at $112,300, while their senior counterparts command $169,400—a 50.7% increase that reflects the expertise premium in competitive markets. This spread matters because it shows progression opportunity; a junior engineer gaining 8 years of experience can expect real earning potential, not just modest increments.
Southern and Midwest states follow with notably different economics. Texas, despite having the second-largest number of data engineer job postings at 1,842, averages only $132,400—a 15.2% discount compared to California. Austin’s tech scene and Dallas’s growing finance hub create opportunity volume without matching coastal salary levels. Georgia averages $128,600, influenced partly by Atlanta’s emergence as a tech corridor with companies like Global Payments and Mailchimp. Illinois sits at $127,900, where Chicago’s financial services sector (housing the headquarters of 30 Fortune 500 companies) actually underperforms expectations, possibly because many firms relocate data engineering roles to lower-cost hubs.
This geographic stratification matters for career planning. A data engineer earning $142,800 in Texas—mid-career level—would need to relocate to California to reach that same salary in an entry-level position ($118,500). Yet the cost of living difference means that $142,800 in Austin provides more purchasing power than an early $118,500 in San Francisco. The headline numbers don’t capture location optimization strategies that savvy engineers employ.
| Region Grouping | Average Salary | Number of States | Cost of Living Index | Salary-to-COL Ratio |
|---|---|---|---|---|
| West Coast (CA, WA, OR) | $151,700 | 3 | 135 | 1.12 |
| Northeast (NY, MA, CT, NJ) | $146,400 | 4 | 128 | 1.14 |
| Texas/Southwest (TX, AZ, NM) | $129,200 | 3 | 101 | 1.28 |
| Southeast (GA, FL, NC, SC) | $126,500 | 4 | 98 | 1.29 |
| Midwest (IL, MI, OH, MN) | $125,800 | 4 | 99 | 1.27 |
State-by-State Breakdown: The Complete Picture
Breaking down all 50 states reveals patterns that generalized regional analysis might miss. While the coasts dominate raw salary numbers, the actual earning power—salary divided by cost of living—tells a different story in some cases.
| Rank | State | Average Salary | Change from 2025 | Projected 2027 Salary | Market Growth Rate |
|---|---|---|---|---|---|
| 1 | California | $156,200 | +4.1% | $162,600 | 4.1% |
| 2 | Massachusetts | $151,800 | +3.8% | $157,600 | 3.8% |
| 3 | Washington | $149,900 | +5.2% | $157,600 | 5.2% |
| 4 | New York | $148,700 | +3.4% | $153,800 | 3.4% |
| 5 | Connecticut | $145,600 | +4.7% | $152,400 | 4.7% |
| 6 | New Jersey | $143,900 | +4.2% | $150,100 | 4.2% |
| 7 | Maryland | $141,200 | +4.9% | $148,100 | 4.9% |
| 8 | Virginia | $138,700 | +3.6% | $143,700 | 3.6% |
| 9 | Texas | $132,400 | +6.1% | $140,500 | 6.1% |
| 10 | Colorado | $131,800 | +5.8% | $139,400 | 5.8% |
| 41 | Oklahoma | $110,200 | +4.3% | $114,900 | 4.3% |
| 42 | Arkansas | $109,800 | +3.9% | $114,100 | 3.9% |
| 43 | South Dakota | $108,900 | +2.1% | $111,200 | 2.1% |
| 44 | Wyoming | $107,600 | +1.8% | $109,500 | 1.8% |
| 45 | Mississippi | $106,400 | +2.4% | $109,000 | 2.4% |
The data reveals that Texas shows the strongest growth trajectory at 6.1% year-over-year increase, suggesting emerging demand from tech companies establishing secondary hubs outside California’s expensive market. Washington state follows at 5.2% growth, driven by Amazon’s continued expansion and the influx of engineers supporting cloud infrastructure projects. Colorado, sitting at position 10 with $131,800, demonstrates that mountain-state tech scenes are catching up—Denver’s data engineer salaries grew 5.8% from 2025 to 2026.
Entry-level data engineers nationwide average $104,900 across all states, but this masks critical variations. California entry-level positions start at $118,500, while Mississippi starts at $79,800—a 48.4% difference that reflects both talent scarcity premiums and the fundamental economic structure of each state’s tech industry. Mid-career engineers (3-7 years experience) average $128,500 nationally, while senior engineers (8+ years) average $147,300. These progression patterns hold relatively consistent across states, with senior roles commanding roughly 14% more than mid-career in most markets.
Key Factors Driving Regional Salary Variations
1. Tech Company Concentration and Headquarters Location
California hosts the headquarters of 337 tech companies listed on the 2026 Fortune 1000, including all of the so-called “Magnificent Seven” (Apple, Microsoft, Alphabet, Amazon, Meta, Tesla, Nvidia). Silicon Valley alone has generated 128,000 jobs in software engineering and data roles over the past five years. This concentration creates bidding wars for talent. A mid-level data engineer in Palo Alto might receive 3-4 competing offers within a single month, naturally driving salaries upward. Massachusetts, with 87 Fortune 1000 tech companies, shows similar but less intense dynamics.
2. Cost of Living Index Correlation
San Francisco’s cost of living index stands at 187 (national average = 100), while Mississippi’s is 86. Yet salary differences exceed cost-of-living differences—California data engineers earn 47% more nominally, while costs are only 117% higher. This gap suggests genuine market premium, not just inflation adjustment. Senior data engineers in the Bay Area command $178,900, reflecting both experience and the expectation that they’ll manage systems handling billions of transactions. In Mississippi, senior positions reach $134,500—significant money in that market, but substantially lower in absolute terms.
3. Industry Density: Finance, Healthcare, and E-Commerce
New York’s financial sector directly influences data engineer salaries. Manhattan hosts 289 major financial institutions that employ 376,000 people. Each major bank—JPMorgan Chase, Goldman Sachs, Morgan Stanley—maintains data engineering teams handling petabytes of transaction data. This creates sustained demand that outpaces supply. Healthcare companies in Massachusetts, particularly those developing medical AI and genomic analysis tools, also drive demand. Biogen and Moderna both employ 200+ data engineers each. E-commerce concentration in Washington state around Amazon creates similar effects—the company alone employs 18,400 data engineers globally.
4. Educational Infrastructure and Talent Pipeline
States with major research universities produce more data engineering graduates relative to population. Massachusetts has MIT, Harvard, and Northeastern. California has Stanford, UC Berkeley, and Caltech. These schools graduated 14,200 computer science and data science students combined in 2025. Texas, with University of Texas at Austin and Rice, graduates 3,100 annually—half the pace per capita despite larger total enrollment. Talent scarcity in smaller tech markets forces employers to import talent from coastal regions, increasing salary offers to compensate for relocation resistance.
5. Remote Work Policies and Hybrid Arrangements
Remote work adoption affects salary geography. In 2024, 64% of tech companies offered fully remote data engineering roles; by 2026, this increased to 71%. Yet companies paying Bay Area salaries for remote workers remain exceptions—roughly 12% of open positions. Most employers establish “salary bands by location,” paying Colorado $131,800 for the same role paying California $156,200. Remote-friendly markets like Austin and Denver have captured some demand that would otherwise go to coastal cities, moderating their salary premiums but increasing absolute compensation.
How to Use This Data for Career Decisions
Calculate Your True Earning Power
Don’t compare headline salaries directly. A data engineer earning $140,000 in Austin has greater purchasing power than one earning $152,000 in Boston. Use cost-of-living adjustment calculators specific to housing, taxes, and transportation. Texas has no state income tax, saving an Austin-based engineer roughly $4,200 annually on a $130,000 salary compared to a California counterpart. This compounds significantly over a 30-year career.
Assess Market Growth Rates for Long-Term Trajectory
Washington and Texas show 5.2% and 6.1% annual growth respectively, outpacing California’s 4.1% growth. If these trends continue, an engineer starting in Texas at $98,800 (entry level) could reach parity with California mid-career salaries ($142,800) within 7-8 years of experience, while benefiting from Texas’s lower cost of living throughout. States showing sub-3% growth may indicate market saturation and slower future increases.
Identify Relocation Strategies Based on Career Stage
Entry-level engineers gain more from relocation to high-salary markets (25-30% immediate increase) than mid-career engineers (8-12% increase). A person with 6 months of experience moving from Mississippi ($79,800) to California ($118,500) gets a 48.4% boost. A senior engineer moving ($134,500 to $178,900) gets a 32.9% bump. However, remote options allow building experience in lower-cost states first, then negotiating senior roles with coastal compensation once you have leverage and experience.
Monitor Job Posting Volume for Demand Signals
California has 2,847 open data engineer positions; Texas has 1,842. Per capita, Texas’s 330 million population share yields higher posting density (0.56 positions per 100,000 people vs. California’s 0.72). However, Texas’s growth rate and lower competitive talent pool suggest easier employment prospects. If you prioritize job security and easier hiring, Texas and Colorado present stronger signals. If you want maximum salary and maximum companies bidding for your services, California remains unmatched.
Frequently Asked Questions
What’s the difference between a data engineer and a data scientist salary?
Data engineers focus on building, maintaining, and optimizing the infrastructure that processes data—writing the pipelines, managing databases, ensuring systems run at scale. Data scientists analyze data to extract insights and build predictive models. Data engineers average $138,400 nationally, while data scientists average $131,900. The difference stems from the critical nature of infrastructure work—when a data pipeline fails, it affects hundreds of users immediately. Data scientist errors often take longer to impact business decisions, creating less urgency in hiring. Additionally, data engineering requires deeper systems knowledge and often demands on-call availability for production systems.
Are these salaries before or after taxes?
These figures represent gross compensation—salaries before federal, state, and local income taxes. Federal tax brackets mean a California data engineer earning $156,200 pays roughly 22% in federal taxes ($34,364), plus California state income tax of 9.3% ($14,526), totaling approximately $48,890 in income tax before deductions. The effective take-home is roughly $107,310. However, many data engineer roles include stock options, bonuses (averaging 12-18% of base salary), and 401(k) matching (typically 4-6% of salary). These don’t appear in base salary figures but represent real compensation. Remote workers should also account for self-employment tax implications if they’re contractors rather than employees, which adds another 15.3% for Social Security and Medicare.
Do these numbers include stock options and bonuses?
The salary figures quoted represent
