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Freelance Data Analytics Engineer Jobs in Reston, VA

SES

Data Analytics Engineer

Reston, VA · On-site

$119K - $143K/yr

Systems Engineering Services is seeking a Data Analytics Engineer based out of the Reston-DMV area. This position will require hybrid work in office in the Reston Town Center. Top 5 Technical Skills:

Ryde Technologies, LLC

Data Analytics Engineer

Arlington, VA

$130K - $157K/yr

Job Overview We are seeking a Data Analytics Engineer to support our Federal Government Customer with delivering secure, cloud-based mission systems. The Engineer will contribute to the design ...

Posted today

CGI Inc.

Senior Data Analytics Engineer

Reston, VA · On-site

Senior Data Analytics Engineer Category: Business Analysis (functional and technical) Main location: United States, Virginia, Reston Position ID:J0726-0947 Employment Type: Full Time U.S. - Finding ...

@Orchard

Lead Data Analytics Engineer

Washington, DC · Remote

$160K - $230K/yr

Lead Data Analytics Engineer Remote/Work from Home within the United States Must be a U.S. Citizen with an active or interim Secret Clearance. @Orchard LLC has an immediate need for a Lead Analytics ...

SES

Data Analytics Engineer - ZL

Washington, DC · On-site

$129K - $155K/yr

Data Insights and Visualization * Financial Services Domain Knowledge Seeking an experienced Data Analytics Engineer / Business UAT Tester with 7+ years of analytics, monitoring, visualization ...

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Freelance Data Analytics Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

How much do freelance data analytics engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for freelance data analytics engineer in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Data Analytics Engineer vs Data Scientist?

AspectFreelance Data Analytics EngineerData Scientist
CredentialsOften requires a degree in data analysis, statistics, or related fields; certifications like Google Data Analytics or Microsoft Certified Data Analyst are commonTypically holds a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist or SAS Certified Data Scientist are common
Work EnvironmentFreelance, project-based, remote or on-site depending on client needsUsually employed full-time in organizations or research settings; some freelance roles exist but are less common
Industry UsageUsed across various industries including finance, marketing, healthcare, and e-commercePrimarily in tech, finance, healthcare, and research sectors

While both roles analyze data to extract insights, Freelance Data Analytics Engineers focus on building and maintaining data pipelines and dashboards on a project basis, whereas Data Scientists develop predictive models and advanced algorithms, often requiring deeper statistical expertise.

What are the most commonly searched types of Data Analytics Engineer jobs in Reston, VA? The most popular types of Data Analytics Engineer jobs in Reston, VA are:
What are popular job titles related to Freelance Data Analytics Engineer jobs in Reston, VA? For Freelance Data Analytics Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Freelance Data Analytics Engineer jobs in Reston, VA look for? The top searched job categories for Freelance Data Analytics Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Freelance Data Analytics Engineer jobs? Cities near Reston, VA with the most Freelance Data Analytics Engineer job openings:
Freelance Data Analytics Engineer jobs near you
Infographic showing various Freelance Data Analytics Engineer job openings in Reston, VA as of June 2026, with employment types broken down into 68% Full Time, and 32% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $134,951 per year, or $64.9 per hour.

Data Analytics Engineer

SES

Reston, VA • On-site

$119K - $143K/yr

Other

Posted 5 days ago

Job description

Systems Engineering Services is seeking a Data Analytics Engineer based out of the Reston-DMV area. This position will require hybrid work in office in the Reston Town Center.

Top 5 Technical Skills:

  1. Python
  2. SQL
  3. API /. SDLC
  4. Data Insights and Visualization
  5. Financial Services Domain Knowledge

Job Description:

Seeking an experienced Data Analytics Engineer / Business UAT Tester with 7+ years of analytics, monitoring, visualization, production support, and developer collaboration experience, including 5+ years validating business requirements, data outputs, reports, APIs, and applications before production deployment. Hands-on with GenAI-assisted data extraction, prompt-guided validation, report-ready JSON generation, summarization, trend analysis, anomaly detection support, and validation of generated narratives, tables, and charts. Provides white glove user onboarding and embedded, forward-deployed style support to help developers, QA, analytics teams, and business users operationalize GenAI-enabled reporting solutions in regulated enterprise environments.

  • Business UAT & production readiness: Plan, execute, and document UAT test cases, expected results, evidence, defects, regression validation, acceptance criteria, requirements traceability, user sign-off, and release-readiness decisions.
  • GenAI-enabled ingestion and reporting: Support developers and business teams in designing, testing, and validating dynamic data ingestion and report generation workflows, including source-to-report reconciliation and business-ready outputs.
  • GenAI output validation: Validate extracted data, nested JSON payloads, generated summaries, trend insights, anomaly detection outputs, and narrative, table, and chart results using human-in-the-loop review and business-rule checks.
  • JSON/API and data quality validation: Validate REST API request/response payloads, nested JSON, schema alignment, metadata completeness, SQL reconciliation, source-to-output accuracy, and Jira-supported defect resolution using Postman and Swagger/OpenAPI.
  • Forward-deployed stakeholder support: Work closely with business users, product owners, developers, QA, model risk, validation, analytics, and technology teams to clarify requirements, resolve rollout issues, and close feedback loops during delivery.
  • White glove onboarding and adoption: Create onboarding guides, SOPs, user guides, training materials, UAT artifacts, knowledge-transfer content, and adoption playbooks; facilitate walkthroughs, answer user questions, capture feedback, and coordinate early-life support.

Technical Skills

GenAI Skills: Prompt-assisted extraction, field/entity mapping, GenAI output validation, report-ready JSON generation, summarization, trend analysis support, anomaly detection review, exception handling, human-in-the-loop quality checks, and validation of generated narratives, tables, and charts.

SQL / Databases: Strong SQL for complex analytical queries, source-to-target validation, reconciliation, semi-structured data analysis, data quality checks, production-readiness testing, relational database concepts, and use of SQL workbench/query tools for testing and validation.

Python: pandas, NumPy, JSON parsing/transformation, dynamic ingestion support, report generation workflows, analytics automation, and pipeline testing.

JSON / APIs: REST APIs, request/response payloads, nested JSON, Postman, Swagger/OpenAPI, schema checks, metadata validation, and API testing.

Tools / Methods: Jira, Agile/Scrum methodologies, AWS cloud platforms, dashboards, visualization, model monitoring, documentation tools, developer collaboration, white glove onboarding, and forward-deployed enablement.

Experience & Qualifications

Experience: 7+ years of software development, analytics, data engineering, monitoring, visualization, production support, dynamic ingestion support, report-generation testing, and business enablement experience.

Business UAT: 5+ years validating requirements, test cases, defects, fixes, regression outcomes, generated reports, data outputs, user adoption needs, and production readiness with stakeholders and developers.

Regulated delivery: Financial services or regulated enterprise experience, including documentation, validation, model risk, analytics, governance reporting, stakeholder engagement, and enterprise delivery standards.

Education

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering or a related quantitative field.

Jake Lutman

Techncial Recruiter

Systems Engineering Services

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