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Manager 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 ... Data management and aggregation patterns (data warehouse, data mart, data lake, delta lake ...

Posted today

CGI Inc.

Senior Data Analytics Engineer

Reston, VA · On-site

... defect management, regression testing, and production readiness. . Advanced SQL skills with the ... Data Analysis * Python * SQL * Data Engineering * Data Engineering What you can expect from us:

@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 ... management and resource planning challenges. Your responsibilities as a Financial Reporting ...

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 ...

New

Highspring

Manager, Data & Analytics

Mclean, VA · On-site

... Data Analytics practice. * Deliver on projects in the areas of data management, data governance ... Experience programming in Python, SQL, and/or R. * Experience using GitHub (e.g., source code ...

Highspring

Manager, Data & Analytics

Mclean, VA

... Data Analytics practice. * Deliver on projects in the areas of data management, data governance ... Experience programming in Python, SQL, and/or R. * Experience using GitHub (e.g., source code ...

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

Partner with cybersecurity, engineering, product, and program management teams to align data platforms, applications, integrations, and analytics capabilities with enterprise standards. * Establish ...

Highspring

Senior Manager, Data & Analytics

Mclean, VA · On-site

... Data Analytics practice. * Deliver on projects in the areas of data management, data governance ... Experience programming in Python, SQL, and/or R. * Experience using GitHub (e.g., source code ...

VB Spine

Sr. Manager Data Analytics

Leesburg, VA · On-site

$150K - $170K/yr

Lead, develop, and scale a team of data analysts and engineers - including hiring, coaching, and ... management. * Hands-on leadership style with the ability to operate at both strategic (roadmap ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Reston, VA

Manager Data Analytics Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

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

As of Aug 5, 2026, the average yearly pay for manager 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 Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
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 Manager Data Analytics Engineer jobs in Reston, VA? For Manager Data Analytics Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Reston, VA look for? The top searched job categories for Manager Data Analytics Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Manager Data Analytics Engineer jobs? Cities near Reston, VA with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in Reston, VA as of June 2026, with employment types broken down into 2% As Needed, 84% Full Time, 9% Part Time, and 5% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% 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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