Data Analytics Engineer Jobs in McLean, VA
Data Analytics Engineer jobs in McLean, Virginia are concentrated in the Tysons Corner corridor, the Capital One campus area, and the government contracting hubs along Route 123, where defense intelligence, financial services, and federal IT firms drive steady demand. Employers actively hiring include Capital One, Information Technology Senior Management Forum, and MITRE. See the openings below and apply to the ones that match your experience.
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Work you'll do
As an Analytics and Insights Engineer III on the AI & Data team, you will be responsible for:
- Conduct research and development using programming, statistics, and machine learning in the federal healthcare space
- Translate Medicare policy and operational problems into statistical and machine learning approaches that support production model design and deployment
- Build, validate, tune, and operationalize predictive models with attention to assumptions, bias, leakage, generalization, and performance
- Develop production-quality Python code and machine learning pipelines that are tested, documented, version-controlled, and scalable for large data volumes
- Collaborate with engineers, analysts, subject-matter experts, and government stakeholders to communicate model performance, limitations, and methodology, and to support auditability and knowledge transfer
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
Qualifications
Required:
- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Physics, Operations Research, or another quantitative field
- 2+ years of experience building and deploying data science or machine learning solutions
- 2+ years of experience conducting research using statistical methods, data science, and machine learning
- Ability to travel 15-20%, on average, based on the work you do and the clients and industries/sectors you serve
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Preferred:
- Master's degree or Doctor of Philosophy degree in Statistics, Mathematics, Computer Science, Economics, Physics, Operations Research, or another quantitative field
- Experience with Python and data science or machine learning libraries such as NumPy, pandas, scikit-learn, SciPy, or statsmodels
- Experience with object-oriented programming, version control using Git, testing, and code review
- Experience supporting healthcare or Medicare programs
- Experience working with claims, enrollment, or administrative healthcare data, including Centers for Medicare & Medicaid Services data, International Classification of Diseases codes, Current Procedural Terminology codes, or Healthcare Common Procedure Coding System codes
- Experience applying probability, statistics, linear algebra, or optimization to machine learning model development
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,000 to $188,400.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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Find Data Analytics Engineer JobsData Analytics Engineer Job Market in McLean
Who's Hiring
- Capital One69

- Information Technology Senior Management Forum26
- MITRE9

- Deloitte9

- EY4

Top Industries Hiring
- Banking & Financial Services13
- Fintech4
- Accounting & Auditing4
- Investment & Asset Management4
- Consulting & Professional Services4
Data Analytics Engineer Jobs in McLean: Frequently Asked Questions
How do I get a data analytics engineer job in McLean?
McLean hiring concentrates in three sectors: federal defense contracting, financial services anchored by large corporate headquarters in the Tysons Corner area, and technology consulting firms serving government clients. Candidates with experience in cloud data pipelines, SQL, and tools like dbt or Spark have an edge here. Tailoring your resume to show clearance eligibility or financial data experience is the most effective differentiator in this specific market.
Which companies hire data analytics engineers in McLean?
McLean data analytics engineer roles are posted by Capital One, Information Technology Senior Management Forum, and MITRE and others right now, based on current listings on Migrate Mate as of September 2026. McLean's employer mix is distinctive, combining large financial institutions headquartered in Tysons Corner with defense intelligence contractors and management consulting firms that rely heavily on data engineering teams.
Are there remote data analytics engineer jobs in McLean?
Yes, though it varies by employer type. Data analytics engineer work is desk-based and analytical by nature, making it more remote-compatible than hands-on technical roles. About 43% of data analytics engineer openings tied to McLean are remote or hybrid as of September 2026, reflecting broad flexibility across the market. Pipeline design, modeling, and reporting work tends to be most remote-friendly, while roles supporting cleared government contracts typically require on-site presence.
How can I get a data analytics engineer job in McLean with little or no experience?
The most realistic entry path in McLean is targeting junior data analyst or analytics associate roles at the area's large financial institutions and consulting firms, which routinely hire from local programs and build up from entry level. Familiarity with Python, SQL, and a cloud platform like AWS or Azure is the baseline. McLean's dense consulting sector also hires rotational analysts who move into data engineering tracks, making those firms a strong first stop.
Which industries hire the most data analytics engineers in McLean?
The sectors hiring the most data analytics engineers in McLean are Banking & Financial Services, Fintech, and Accounting & Auditing, based on current listings on Migrate Mate as of September 2026. McLean's position as a hub for financial services headquarters and defense intelligence contractors explains this concentration, as both sectors generate large volumes of structured data that require dedicated engineering teams to manage and transform.
See All 121+ Data Analytics Engineer Jobs in McLean
Find roles in McLean that match your experience and apply in just a few clicks.
Find Data Analytics Engineer Jobs