1,000+ Data & Analytics Jobs in Washington, DC

Government wage benchmarks are strong: Washington data scientists show a $132,200 median, $105,700 at the 25th percentile, $172,960 at the 75th percentile, and a $143,510 mean. The local posting sample centers on about $116k to $180k, with a broader 25th-75th band of about $90k to $225k.

Full September 2026 market report

Advertised pay

Across the 924 openings that disclose pay, the advertised range midpoint runs $120,898 at the 25th percentile, $142,500 at the median and $175,000 at the 75th. These are advertised ranges, not earned pay.

Active openings as of October 17, 2026

Senior roles | Entry level | Remote | Posted this week

Live from the Callings.ai index of over 13 million postings, refreshed hourly and re-checked here nightly. Roles that close are dropped at the next refresh.

Showing 30 of 250+ openings.

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What our analysts see this month

Competitive market | next 3-6 months

Washington is still a real market for Data, Analytics & AI, with more than 1,200 postings across more than 500 companies in the last 90 days and strong local pay benchmarks for data scientists. But it is not an easy market: metro unemployment was 3.8% in August 2026 while total nonfarm employment was down -1.9610% year over year, Information employment was down -4.7045%, and Professional and Business Services was down -2.1022%. In practice, that means good demand for strong candidates, especially in government, consulting, and mission-driven work, but slower conversion for generalist, entry-level, and remote-only applicants.

Best positioned: Mid-to-senior candidates who can show Python, SQL, machine learning, and data-visualization work, are open to on-site or hybrid roles, and can operate in government or contractor environments have the best odds right now.

Main caution: High salary bands do not mean broad access: only about 10% of sampled postings were entry-level and only about 5% were remote.

From the September 2026 market report

Who is hiring here

Counted across all 1,176 openings in this market. 10 of the employers below are hiring for more than one role right now.

1. Booz Allen: 147 open roles
2. Capital One Group: 59 open roles
3. Deloitte: 49 open roles
4. Guidehouse: 24 open roles
5. Accenture PLC: 20 open roles
6. CACI International Inc.: 16 open roles
7. Capital One: 16 open roles
8. ManTech International Corporation: 16 open roles
9. Peraton: 14 open roles
10. Leidos: 10 open roles

Where the openings are

• Washington: 296
• McLean: 172
• Arlington: 139
• Chantilly: 56
• Reston: 48
• Springfield: 34
• Bethesda: 32
• Annapolis Junction: 31

Work arrangement

on-site 747 (64%), hybrid 316 (27%), remote 97 (8%)

Where the demand is

Opportunity is spread across many employers rather than one dominant cluster. The local sample shows more than 1,200 postings across more than 500 companies over the last 90 days, and employer concentration is described as fragmented. The most consistently active named employers in the sample are Booz Allen with more than 75 postings and Dataroles with more than 30. The real concentration is by buyer type. IT services and consulting and government/public sector each make up about 25% of sampled postings, followed by software development at about 15%, defense and space manufacturing at about 10%, and financial services at about 10%. That lines up with September local signals: DDOT's six-role Data Scientist opening emphasized BI, GIS, Python, and advanced analytics, while Data Machines tied its Reston expansion to government-partner work and a mix of AI and data analytics needs.

• Government and public-sector analytics (high): Government and public sector accounts for about 25% of sampled local postings, and DDOT's September opening shows demand for BI, GIS, Python, and advanced analytics in operational decision-making.
• IT services and consulting (high): IT services and consulting also accounts for about 25% of sampled postings, with Booz Allen the most active named employer in the sample.
• Defense and mission contractors (moderate): Defense and space manufacturing contributes about 10% of sampled postings, and Data Machines said its expansion is meant to support complex government-partner work tied partly to AI and data analytics.
• Financial-services analytics (moderate): Financial services makes up about 10% of sampled postings locally, making it a real but smaller lane than government and consulting.

Where to focus: If you can only pick one lane, target government-adjacent and consulting employers first, especially if you can show analytics work that supports operations, policy, or mission outcomes.

Roles worth searching next

• Business analyst / operations analyst: This is a practical bridge for candidates whose strength is decision support rather than advanced modeling. Washington's business and financial operations group is large at 11.8% of metro employment and paid a mean $56.46 per hour in May 2025, giving this path a broader landing zone than pure data science.
• AI product manager: Prompt-engineering work is increasingly being absorbed into broader roles such as AI Product Manager instead of standing alone as its own title.
• AI governance / model risk analyst: AI governance is lagging adoption: 36% of organizations are using AI across workflow without formal governance, which creates openings for people who can combine analytics fluency with controls, documentation, and evaluation discipline.
• Mission analyst / program analyst for government contractors: Government/public sector makes up about 25% of sampled local postings and defense/space manufacturing about 10%, so some candidates will land faster by moving through mission analysis before shifting into more specialized analytics roles.

What postings ask for

• Python (table_stakes | immediate): Python appears in about 75% of sampled local postings, making it the clearest baseline filter in this market. Who: Everyone in the category, especially entry-level and career-switching candidates who need proof of execution.
• SQL (table_stakes | immediate): SQL appears in about 45% of sampled local postings and remains core for analytics roles even when employers advertise AI work. Who: All candidates, but especially analysts moving toward data science or analytics engineering.
• Machine learning (differentiator | immediate): Machine learning appears in about 40% of sampled local postings, and broader DC-area demand signals also highlight machine learning among the most in-demand skills. Who: Mid-career analysts and data scientists trying to move from reporting into modeling or AI-heavy work.
• Data visualization, Tableau, and BI/GIS storytelling (differentiator | immediate): Data visualization appears in about 25% of sampled local postings and Tableau in about 15%, while DDOT's September hiring call explicitly named business intelligence and GIS tracks. Who: Entry-level candidates and public-sector-facing applicants who need faster proof of business impact.
• TS/SCI clearance (premium | near-term): TS/SCI clearance shows up as the most common explicit requirement in the local sample, appearing in about 5% of postings, which is meaningful in a market tilted toward government and defense buyers. Who: Candidates already eligible for cleared work or those targeting contractors and mission programs.
• Generative AI stack: LLMs, RAG, and agentic workflows (premium | near-term): Current skill signals point beyond generic AI familiarity toward LLMs, RAG, and agentic workflows, while standalone prompt-engineer titles are fading into broader roles. Who: Mid-career candidates who already have solid Python/SQL foundations and want to move upmarket.

Questions about this market

What do Data, Analytics & AI roles pay in Washington-Arlington-Alexandria, DC-VA-MD-WV?

Government wage benchmarks are strong: Washington data scientists show a $132,200 median, $105,700 at the 25th percentile, $172,960 at the 75th percentile, and a $143,510 mean. The local posting sample centers on about $116k to $180k, with a broader 25th-75th band of about $90k to $225k. This metro still pays above the U.S. benchmark: the national median for data scientists was $120,230 in May 2025, below the local $132,200 median. Washington also carries a high overall wage base, with mean hourly pay across all occupations at $44.20 versus $33.54 nationally.

Where is demand for Data, Analytics & AI roles in Washington-Arlington-Alexandria, DC-VA-MD-WV concentrated?

Opportunity is spread across many employers rather than one dominant cluster. The local sample shows more than 1,200 postings across more than 500 companies over the last 90 days, and employer concentration is described as fragmented. The most consistently active named employers in the sample are Booz Allen with more than 75 postings and Dataroles with more than 30. The real concentration is by buyer type. IT services and consulting and government/public sector each make up about 25% of sampled postings, followed by software development at about 15%, defense and space manufacturing at about 10%, and financial services at about 10%. That lines up with September local signals: DDOT's six-role Data Scientist opening emphasized BI, GIS, Python, and advanced analytics, while Data Machines tied its Reston expansion to government-partner work and a mix of AI and data analytics needs.

Which employers are hiring the most Data, Analytics & AI talent in Washington-Arlington-Alexandria, DC-VA-MD-WV?

Recent postings show the most activity from Booz Allen (75 postings), Dataroles (30 postings). See the full market report for the complete employer landscape.

Can Data, Analytics & AI roles in Washington-Arlington-Alexandria, DC-VA-MD-WV be done remotely?

Of recent postings, 5% are remote and 30% hybrid, with 65% on-site. Use the Remote filter above to see only remote openings.

How current are these listings?

Openings come from the Callings.ai live index of over 13 million jobs, refreshed hourly. This page searches postings from the last 30 days; run the search yourself to filter by anything else in plain language.

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