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Ai Data Analytics Jobs in Washington (NOW HIRING)

Nationwide IT Services

Palantir / AI Data Engineer

MD · On-site

The engineer will maintain semantic data layers, schemas, vector indexes, and AI-ready data products that enable natural-language, AI/ML, and mission analytics use cases across integrated ANG data ...

Carlyle

Data & AI Engineer

Washington, DC · Hybrid

$129K - $155K/yr

Implement semantic models, data contracts, and analytical/dimensional models that enable trusted self-service analytics and reliable AI grounding. * Build and maintain reusable data products with ...

Unissant

AI Data Scientist

Ashburn, VA · On-site

Advanced Analytics Solutions:Design and implement machine learning models, Gen-AI (LLM) and NLP ... Data Visualization:Design and produce compelling data visualizations and interactive dashboards.

UNISSANT

AI Data Scientist

Ashburn, VA

We are seeking a AI Data Scientist to join our team and support our federal customer. This role ... Advanced Analytics Solutions: * Design and implement machine learning models, Gen-AI (LLM) and NLP ...

Unissant

AI Data Scientist

Ashburn, VA · On-site

$114K - $189K/yr

We are seeking a AI Data Scientist to join our team and support our federal customer. This role ... Advanced Analytics Solutions: * Design and implement machine learning models, Gen-AI (LLM) and NLP ...

rockITdata

Data & Analytics Consultant

Arlington, VA · Remote

... AI, automation and data transformation. We then bring those commercially tested solutions to ... Analyze datasets to identify patterns, trends, and insights. * Create basic data visualizations (e ...

Guidehouse

Fraud AI / Data Senior Consultant

Arlington, VA · On-site

$113K - $188K/yr

Develop and optimize machine learning models and analytics workflows * Lead data engineering efforts including ETL pipelines and cloud data architectures * Partner with clients to identify AI use ...

KPMG

Manager, Oracle Data & Analytics

Ashburn, VA · On-site

Design and develop custom data marketplace, data products, and analytics & AI solutions using ... Oracle tools * Develop documentation, training materials, and knowledge transfer sessions for ...

Guidehouse

Fraud AI / Data Senior Consultant

Mclean, VA · On-site

$113K - $188K/yr

Develop and optimize machine learning models and analytics workflows * Lead data engineering efforts including ETL pipelines and cloud data architectures * Partner with clients to identify AI use ...

JCTM, LLC

AI Data Systems Engineer

Quantico, VA · On-site

$123K - $148K/yr

Analyze how candidate AI systems ingest, process, move, secure, and produce data, identifying risks, bottlenecks, and integration challenges. * Governance and Data Rights: Support data governance ...

JCTM, LLC

AI Data Systems Engineer

Quantico, VA · On-site

$123K - $148K/yr

Analyze how candidate AI systems ingest, process, move, secure, and produce data, identifying risks, bottlenecks, and integration challenges. * Governance and Data Rights: Support data governance ...

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How much do ai data analytics jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for ai data analytics in Washington is $62.01, according to ZipRecruiter salary data. Most workers in this role earn between $49.81 and $70.24 per hour, depending on experience, location, and employer.

What is AI data analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What skills and qualifications are needed to thrive as an AI data analyst?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

How does an AI data analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

Is data analysis a good career with AI?

A career in AI Data Analytics is considered promising due to the increasing demand for data-driven decision making and AI integration across industries. Professionals in this field need strong skills in data manipulation, statistical analysis, and tools like Python or R. The role offers growth opportunities, competitive salaries, and the chance to work on innovative technologies.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working closely with data engineers and data scientists to develop predictive models and automate data workflows.

What are popular job titles related to Ai Data Analytics jobs in Washington?

For Ai Data Analytics jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Ai Data Analytics jobs in Washington look for?

The top searched job categories for Ai Data Analytics jobs in Washington are:

What cities in Washington are hiring for Ai Data Analytics jobs?

Cities in Washington with the most Ai Data Analytics job openings:

Ai Data Analytics jobs near you
Infographic showing various Ai Data Analytics job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $128,972 per year, or $62 per hour.

Palantir / AI Data Engineer

Nationwide IT Services

MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

Palantir / AI Data Engineer  LocationHybrid - Air National Guard Readiness Center (ANGRC), Joint Base Andrews, MD; up to 3 telework days per week. Remote work may be authorized by the Government on an exception basis. Occasional travel may be required.Security Clearance RequirementActive SECRET security clearance Position SummaryNationwide IT Services, NIS, is seeking a  Palantir / AI Data Engineer to develop, integrate, and sustain data and AI capabilities across Palantir Foundry, Envision, Maven, Vantage, AskSage, and connected enterprise repositories for a potential opportunity. The engineer will maintain semantic data layers, schemas, vector indexes, and AI-ready data products that enable natural-language, AI/ML, and mission analytics use cases across integrated ANG data sets.Key Responsibilities
  • Build, configure, maintain, and troubleshoot data products and workflows in Palantir Foundry and related Envision, Maven, and Vantage environments.
  • Structure and maintain semantic data layers, ontologies/data models, schemas, metadata, and vector-index configurations supporting AI/ML query processing.
  • Integrate Palantir and AskSage with Microsoft Azure, Azure Databricks, Advana/WDP, Power BI, and other CDAO repositories while preserving schema and data integrity.
  • Prepare and optimize enterprise data for retrieval, semantic search, vector-based retrieval, prompt/context engineering, and AI-assisted analysis.
  • Implement data quality, access control, least-privilege, encryption, lineage, and CUI-handling controls across AI-enabled data products.
  • Partner with data engineers and the Technical Lead to develop reliable ingestion and transformation pathways feeding Palantir/AI data products.
  • Validate AI data layers against Government-approved business definitions and functional requirements; investigate inaccurate, incomplete, or inconsistent AI responses attributable to data or semantic-layer issues.
  • Support development and sustainment of BI products, analytics solutions, and technical training involving Palantir and AI tools.
  • Create technical documentation, configuration guidance, troubleshooting procedures, and training materials for supported Palantir and AI capabilities.
Required Qualifications
  • Demonstrated hands-on experience with Palantir Foundry data engineering, modeling, application/analytics development, or platform administration.
  • Experience developing semantic layers, ontology/data models, vector indexes, embeddings/retrieval pipelines, or comparable AI-ready data structures.
  • Strong SQL and Python skills and experience integrating heterogeneous enterprise data sources.
  • Experience with AI/ML-enabled query, retrieval, prompt/context engineering, or enterprise generative-AI solutions such as AskSage or comparable platforms.
  • Understanding of data governance, lineage, access controls, security, and quality controls for enterprise and regulated data environments.
  • Must satisfy applicable DoD/DAF security, cybersecurity-awareness, CUI, OPSEC, and access-training requirements.
Preferred Qualifications
  • Experience with Palantir Envision, Maven, or Vantage.
  • Experience supporting DoD IL4/IL5 cloud environments, Advana/WDP, or Air Force/ANG mission data.
Why Join Nationwide IT Services?Nationwide IT Services is a trusted government contractor supporting Department of Defense customers. This role supports the Air National Guard Chief Data and Artificial Intelligence Office (CDAO), helping sustain and advance enterprise data, business intelligence, application, and AI capabilities that enable faster, data-driven mission decisions.
Our benefits package includes medical, dental, and vision insurance, life and disability insurance, a 401(k) plan with employer match, paid holidays, PTO (sick/vacation), commuter benefits, employee assistance program (EAP), educational reimbursement, and pet insurance.
Salary range: $138,000 to $189,000 annually 
The salary range is a general guideline. We consider several factors when determining base salary offers, including the position's scope and responsibilities, the candidate's experience, education, and skills, and current market conditions.
 

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