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Manager Data Analytics Engineer Jobs in Reston, VA

We are seeking an experienced and data-driven Program Manager to lead a multidisciplinary team of analysts and engineers supporting a client's performance measurement program. The Program Manager ...

We are seeking an experienced and data-driven Program Manager to lead a multidisciplinary team of analysts and engineers supporting a client's performance measurement program. The Program Manager ...

You will sit at the intersection of Data Engineering and Data Analytics, turning raw data into ... Comfortable working in a fast-paced environment and managing multiple priorities simultaneously

New

You will sit at the intersection of Data Engineering and Data Analytics, turning raw data into ... Comfortable working in a fast-paced environment and managing multiple priorities simultaneously

New

Sr. Analytics Engineer

Rockville, MD · On-site

$135K - $155K/yr

HyerTek is hiring a Sr. Analytics Engineer to design, build, and own the data and analytics layer ... Support data quality monitoring, root cause analysis, and continuous improvement across managed ...

Sr. Analytics Engineer

Rockville, MD · On-site

$135K - $155K/yr

HyerTek is hiring a Sr. Analytics Engineer to design, build, and own the data and analytics layer ... Support data quality monitoring, root cause analysis, and continuous improvement across managed ...

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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 Jul 16, 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:
AI & Data Analytics Developer - Must be government clearance eligible

AI & Data Analytics Developer - Must be government clearance eligible

NavAide

Arlington, VA • On-site, Remote

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 25 days ago


Job description

Job Title: AI & Data Analytics Developer
About Navaide
Navaide partners with federal clients to deliver mission-focused solutions across financial management, ERP, and digital transformation. We bring deep domain expertise, practical execution, and a people-first culture to complex government environments.
Catalysts for a Stronger Tomorrow
At Navaide, we exist to empower organizations to evolve and adapt in a rapidly changing world. By combining human ingenuity with transformative technology, we develop innovative solutions that drive progress for the people and systems that strengthen our nation. Our mission is rooted in agility, scalability, and a commitment to exceeding expectations, ensuring impactful results for our clients and communities.
How You Will Make an Impact:
We are seeking an AI & Data Analytics Developer to support a federal acquisition process modernization effort. This role will work under the direction of the Lead AI & Data Analytics Engineer to build dashboards, data models, workflows, prototypes, reports, and analytical solutions using Microsoft Power Platform, Palantir Foundry, Advana, Jupiter, and Databricks.
The successful candidate must be technically curious, detail-oriented, proactive, and able to execute quickly. This individual will help clean, transform, validate, and visualize data while supporting AI-enabled use cases that generate insights for acquisition and contract writing stakeholders.
This role is ideal for someone who can build, test, document, and improve analytics products while learning the client's business process and federal data environment.
Key Responsibilities:
  • Support the design, development, testing, and maintenance of dashboards, reports, workflows, and data products.
  • Build Power BI dashboards and reports to support acquisition, contract writing, workload, data quality, and leadership reporting needs.
  • Support Power Platform development, including Power Apps and Power Automate workflows.
  • Assist with Palantir Foundry development, including datasets, transformations, dashboards, applications, and analytical products.
  • Work within Advana and Jupiter environments to access, explore, analyze, and prepare data.
  • Use Databricks, SQL, Python, PySpark, or similar tools to clean, transform, validate, and prepare data for analytics and AI use cases.
  • Support AI-enabled analytics capabilities, including automated insights, natural language querying, anomaly detection, trend analysis, and leadership summaries.
  • Validate AI-generated insights against source data and business rules.
  • Document data sources, transformation logic, assumptions, business rules, calculations, and known data limitations.
  • Assist with data quality checks, data reconciliation, and issue identification.
  • Support user testing, dashboard validation, prototype development, and stakeholder feedback sessions.
  • Work with acquisition and contract writing subject matter experts to understand reporting needs and business context.
  • Support recurring reporting, ad hoc analysis, and executive-level data requests.
  • Collaborate with the lead engineer, business analysts, system owners, and client stakeholders to deliver timely and accurate analytics products.

Required Qualifications:
  • 3+ years of experience in data analytics, business intelligence, data engineering, AI analytics, reporting, dashboard development and workflow automation.
  • Experience with Power BI and data visualization.
  • Experience using SQL and analytical tools such as Python, Jupiter notebooks, or similar analytical tools.
  • Experience cleaning, transforming, validating, and reconciling data with ability to identify data quality issues and inconsistencies.
  • Familiarity with AI, machine learning, generative AI, prompt engineering, or automated insight generation.
  • Strong documentation skills.
  • Ability to communicate analytical findings to non-technical stakeholders.
  • Ability to work in a fast-paced environment and execute tasks with limited day-to-day oversight.
  • Eligible to obtain a U.S. Government clearance

Preferred Qualifications
  • Experience with, or willingness to quickly learn, modern analytics platforms and environment such as Palantir Foundry, Advana, Jupiter, and Databricks.
  • Experience with Microsoft Power Platform including Power BI, Power Apps, and Power Automate.
  • Experience supporting federal, defense, or national security analytics programs.
  • Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Mathematics, Physics, or a related technical field, or equivalent experience.

Travel
Up to 10% travel, depending on environment cutovers, stakeholder design sessions, and validation/test events.
Education
What We Offer
Navaide is committed to fostering a supportive, inclusive, and forward-thinking workplace where our team members can thrive. Our benefits are designed to support your well-being, professional growth, and ability to work at a sustainable pace.
  • Competitive compensation: $110,000 - 130,000 / year (commensurate with experience)
  • Comprehensive benefits, including medical, dental, and vision coverage
  • Flexible time off
  • Professional development opportunities
  • Company perks such as flex spending, wellness initiatives, etc.
  • 401(K) matching

About Our Culture
Navaide honors integrity, curiosity, diligence, and collaboration in everything we do. We believe in building strong relationships with our clients, communities, and teammates, united by a shared purpose of creating a stronger tomorrow. Navaide is proud to be an Equal Employment Opportunity employer.
Ready to Make a Difference?
For more about us, please check out the following links:
  • About Navaide
  • Other Opportunities
  • Employee Benefits
  • Connect with us on LinkedIn!

Equal Opportunity Employer: Navaide is an EEO Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
  • E-Verify Participation:
  • E-Verify Participation Poster
  • IER Right to Work Poster

No third parties, please.

NavAide logo

About NavAide

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

51 - 200 Employees

Headquarters location

San Diego, CA, US

Year founded

2016