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  1. Home/
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  3. AI Sports Analytics Engineer/
  4. Washington DC

AI Sports Analytics Engineer.

Washington DC.

$154,000

median salary, 26% above the national average

$114,000 to $199,000. Last updated April 2026.

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Data points to own the conversation.

Here is what AI Sports Analytics Engineers actually make in Washington DC: $114,000 at the 25th percentile, $154,000 at the median, and $199,000 at the 75th. That is 26% above the national average. Washington DC's job market is shaped by the federal government, defense contractors, and a growing commercial tech sector. The number on your offer letter will depend on what you bring and how you ask.

Salary range

25th Percentile

$114,000

per year

Median

$154,000

per year

75th Percentile

$199,000

per year

Where do you fall?

$114,000$199,000

Salary by experience

The gap between entry and lead level is typically $139,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$100,000

to $123,000

Mid (3-5 yrs)

$131,000

to $162,000

Senior (6-9 yrs)

$169,000

to $200,000

Lead (10+ yrs)

$193,000

to $239,000

Salary trend

+9% YoY
$109,000
2022
$119,000
2023
$130,000
2024
$141,000
2025
$154,000
2026

Total compensation

Base salary is not the full picture. Equity, bonus, and signing can add $75,000 to the total package.

Base

$154,000

Equity

$46,000

Bonus

$20,000

Signing

$9,000

Estimated total: $229,000

How Washington DC compares

Washington DC, DC

$154,000

Cost of living: 25% above average

National Average

$122,000

Washington DC is $32,000 above

AI Sports Analytics Engineer salary by city

AI Sports Analytics Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$168,000$124,000 – $218,0001.38x$122,000
San Francisco, CA$163,000$120,000 – $211,0001.35x$121,000
Honolulu, HI$159,000$117,000 – $205,0001.30x$122,000
New York, NY$158,000$116,000 – $204,0001.28x$123,000
Washington DC, DC$154,000$114,000 – $199,0001.25x$123,000
Seattle, WA$150,000$110,000 – $194,0001.24x$121,000
Newark, NJ$150,000$110,000 – $194,0001.18x$127,000
Jersey City, NJ$148,000$109,000 – $191,0001.20x$123,000
Boston, MA$147,000$109,000 – $191,0001.22x$120,000
San Diego, CA$147,000$108,000 – $190,0001.17x$126,000

See all 83 cities for AI Sports Analytics Engineer →

Salary by role in Washington DC

Salary comparison by role in Washington DC
RoleMedianRange
Distinguished Engineer$425,000$322,000 – $541,000
Chief AI Officer$395,000$293,000 – $510,000
Chief Technology Officer$366,000$271,000 – $480,000
EdTech AI Engineer$155,000$115,000 – $200,000
AI Sports Analytics Engineer$154,000$114,000 – $199,000
AI Accessibility Engineer$154,000$114,000 – $198,000
AI Construction Engineer$154,000$114,000 – $198,000
AI Voice Experience Designer$154,000$114,000 – $199,000

What you should know

If you are interviewing for AI Sports Analytics Engineer roles in Washington DC, here is what you are walking into. Washington DC's job market is shaped by the federal government, defense contractors, and a growing commercial tech sector. Cybersecurity, cloud computing, and consulting firms drive demand for cleared professionals. The region's stability, combined with high government pay scales, creates a salary floor that pulls private sector compensation upward. Compensation varies based on the sport, organization size, and the sophistication of analytics deployed. Engineers who can build player tracking systems, injury prediction models, and game strategy optimization tools earn premiums. Experience with computer vision for sports video analysis and real-time decision support systems adds significant value.

Junior sports analytics engineers start at $75,000 to $95,000. Mid-level engineers building production analytics systems reach $115,000 to $140,000. Senior engineers leading team analytics programs earn $145,000 to $175,000. Directors of analytics at professional sports organizations or betting companies can reach $190,000 to $250,000. In Washington DC, those numbers run higher. The cost of living here is 25% above average, and employers adjust to compete.

Base salary is not the full picture. Bonuses at professional sports organizations range from 5% to 15%, sometimes tied to team performance. Sports betting companies offer higher base salaries and performance-linked bonuses. Equity at sports tech companies adds $10,000 to $40,000 annually. Perks often include premium access to sporting events. And on the tax side: dC income tax rates reach 10.75% for high earners. Maryland and Virginia residents working in DC face their own state taxes. Choose your residence jurisdiction carefully to optimize net pay. When someone quotes you $154,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: A security clearance is your strongest negotiation asset. Cleared professionals in DC command 20 to 30% premiums, and transferring your clearance to a new employer saves them significant time and cost. The range for AI Sports Analytics Engineers in Washington DC runs from $114,000 to $199,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology

Interactive

Is your offer competitive?

Enter your AI Sports Analytics Engineer offer to see where you stand in Washington DC.

$

25th

$114,000

Median

$154,000

75th

$199,000

Considering a related role?

  • A Frontend Developer in Washington DC earns $153,000 (1% less)
  • The highest-paying role in Washington DC is Distinguished Engineer at $425,000

Common questions.

Baseball (advanced metrics and player evaluation), basketball (spatial analytics and shot optimization), football (play-calling analytics and injury prediction), and soccer (player tracking and tactical analysis) have the most developed analytics programs. Sports betting companies hire across all sports. Cricket and Formula 1 are growing markets for AI analytics.

Domain knowledge helps significantly in feature engineering and result interpretation. However, the core technical skills (computer vision, time series analysis, optimization) transfer from other domains. Many successful sports analytics engineers entered from general data science or ML backgrounds and developed sports expertise on the job. Genuine passion for the sport makes the work more engaging.

Washington DC's cost of living is 25% above the national average. Washington DC's job market is shaped by the federal government, defense contractors, and a growing commercial tech sector. Calculate your actual take home pay after housing, taxes, and transportation before deciding. A $154,000 salary here buys a different lifestyle than the same number in another market.

Many Washington DC employers are shifting toward skills based hiring for AI Sports Analytics Engineer positions. While a degree can accelerate your path to the median salary of $154,000, demonstrated experience, certifications, and a strong portfolio carry significant weight. Candidates without degrees may start closer to $114,000 but can reach the 75th percentile with three to five years of proven results.

Washington DC's job market is shaped by the federal government, defense contractors, and a growing commercial tech sector. Cybersecurity, cloud computing, and consulting firms drive demand for cleared professionals. For AI Sports Analytics Engineers specifically, compensation varies based on the sport, organization size, and the sophistication of analytics deployed, which signals sustained demand. The current compensation range of $114,000 to $199,000 reflects a market that is competing for talent.

AI Sports Analytics Engineer hiring in Washington DC typically involves three to five rounds: a recruiter screen, a technical or skills assessment, one or two team interviews, and a final conversation with leadership. Companies in Washington DC's Federal Government sector may add domain specific evaluations. The process usually takes two to four weeks. Prepare by researching the company and practicing with Orbyt's Interview Prep tool.

AI Sports Analytics Engineer salary in other cities

Virginia Beach$120,000
Wilmington$119,000
Wichita$100,000
Austin$123,000
Atlanta$128,000
Anchorage$139,000

Other salaries in Washington DC

Generative AI Developer$218,000
Generative Media Engineer$186,000
LLM Engineer$233,000
LLM Fine-Tuning Engineer$227,000

Related

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Cite this data

Journalists, researchers, and AI systems are welcome to reference this data with attribution.

"AI Sports Analytics Engineer Salary in Washington DC, DC." Orbyt Salary Explorer, April 2026. https://www.orbytjobs.ai/salaries/ai-sports-analytics-engineer/washington-dc

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