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Manager Data Analytics Engineer Jobs in Reston, VA

VIA

Data Analytics Engineer

Washington, DC · On-site

$129K - $155K/yr

As a Data Analytics Engineer at VIA, you'll play a pivotal role in the growth of our solutions. You'll turn raw, complex, and often ambiguous data into the clear, trusted narratives that power VIA ...

VIA

Data Analytics Engineer

Washington, DC · On-site

$129K - $155K/yr

As a Data Analytics Engineer at VIA, you'll play a pivotal role in the growth of our solutions. You'll turn raw, complex, and often ambiguous data into the clear, trusted narratives that power VIA ...

MassMutual Ventures

Data Analytics Engineer

Washington, DC · On-site

$129K - $155K/yr

As a Data Analytics Engineer at VIA, you'll play a pivotal role in the growth of our solutions. You'll turn raw, complex, and often ambiguous data into the clear, trusted narratives that power VIA ...

New

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 ...

SMX

Data Analytics Analyst (5615)

Arlington, VA · On-site

We are looking for a skilled Data Analytics Engineer to join our team. You will build and support ... Manage Data Models and Budget planning applications: Maintain and optimize Budget formulation ...

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 ...

AV

Senior Data Analytics Engineer

Germantown, MD · On-site

$100K - $153K/yr

The Senior Data Analytics Engineer role will be critical in developing and enhancing our Oracle-based data warehouse infrastructure to support enterprise-wide Power BI analytics and reporting. The ...

New

VB Spine, LLC

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 ...

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 Sep 15, 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 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.

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 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.

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

Washington, DC • On-site

VIA
See more jobs at VIAexternal

$129K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago

Job description

VIA is making an impact, and so can you.

Headquartered in Boston, Massachusetts, VIA is a mission-critical software company that enables organizations to share and analyze sensitive data at speed without compromising security or control. VIA's decentralized architecture keeps data sovereign, while its agentic AI helps organizations solve critical challenges, and its military-grade security governs access. Designed for simplicity, rapid deployment, and disconnected environments, VIA makes sensitive data usable wherever the mission happens, even offline. The Department of War, Fortune 50 companies, and critical infrastructure companies around the globe trust VIA to help them solve their toughest analytics and digital security challenges. Learn more: solvewithvia.com.

An impressive mission requires an equally impressive Data Analytics Engineer.

As a Data Analytics Engineer at VIA, you'll play a pivotal role in the growth of our solutions. You'll turn raw, complex, and often ambiguous data into the clear, trusted narratives that power VIA's data products and guide our customers' decisions. Operating on a high-velocity Agile team, you'll work cross-functionally with software engineers, data peers, and client delivery professionals to lead data initiatives end to end, in an environment where precision, security, and clarity are non-negotiable.

In this role, you will:

Understand the data and the domain

  • Partner with VIA's client delivery team and customers to translate domain knowledge into data infrastructure requirements, validate assumptions, and resolve data-related issues
  • Explore customer data to build a clear picture of contents and characteristics (e.g. averages, expected ranges, trends, standard deviations) and make suggestions for data cleaning and analysis

Build AI-powered data products

  • Deliver data-based products to external customers, including interactive data analysis and investigation platforms, data quality reports, statistical analysis, and visualizations that turn complex findings into clear stories
  • Build AI into VIA's data products, for example through automated insights, anomaly detection, AI-assisted data quality checks, and natural-language interfaces over operational data
  • Evaluate the quality and reliability of AI/ML outputs against domain expectations, and design the human-in-the-loop checks that keep our data products trustworthy

Oversee data pipelines

  • Own the design, quality, and reliability of ETL/ELT pipelines, including work built with AI assistance
  • Coordinate with internal stakeholders and customers when information is missing or discrepancies are found
  • Run quality control on data and data products through both automated tests and targeted manual review, and document the assumptions and decisions made along the way so the work stays traceable

Improve the platform

  • Contribute to the continual improvement of internal tools for data cleaning, modeling and analytics, and data quality assessment by identifying key data-related challenges that are ideal candidates for automation and AI enhancement
Requirements

What you will bring to this role:

  • 3+ years of experience in a data-driven role or equivalent in data-related research projects
  • Bachelor's or Master's degree in science, mathematics, engineering, or a data-driven field
  • Competence in Python, R, or equivalent programming language
  • Competence in at least two of the following technologies:
    • Database technologies (e.g., SQL, PostgreSQL)
    • Data science libraries (e.g., NumPy, pandas)
    • Data pipelining workflows and tools (e.g., Dagster, Airflow, dbt)
    • Cloud providers (e.g. AWS, Azure), including software development kits used to access data and services on these platforms
  • Ability to translate complex data findings into clear, compelling narratives
  • Strong communication capability to decompose complex operational workflows into clear, repeatable steps that both teammates and AI tools can act on
  • Passionate about data integrity, with a proven track record of transforming raw inputs into high quality, trusted datasets
  • A self-starter attitude and demonstrated ability to learn new technologies quickly
  • Experience in the following is a plus:
  • Generative AI tools (e.g. AWS Bedrock, LangChain)
  • Testing frameworks (e.g. pytest)

What does it take to be a successful VIAneer? Let's break it down, our VIAneers are:

  • Self-motivated and passionate about leaving everything they touch better than how they found it
  • Firm believers that people should love what they do and are eager to build a culture that enables them to do their best work
  • Creative problem solvers who respectfully challenge the status quo in the pursuit of excellence
  • People who lead discussions with curiosity and value diverse perspectives
  • Eager to explore new ideas, understand the power of feedback, and constantly seek opportunities to grow and develop their skills
  • Strong team players who thrive in collaborative environments and celebrate the success of others
Benefits

What can VIA do for you?

VIA offers competitive benefits, flexible work options, and individualized mentoring and growth opportunities. Here are just a few of our VIAneers' favorite perks:

  • Compensation: 
    • This role offers a salary range of $100,000 - $130,000 USD per year
    • 401K plan with up to 5% employer contribution
  • Health: A fully funded, top-tier health benefits plan, including vision and dental coverage, fully covered from day one, for your whole family
  • Family Support: Up to 24 weeks paid parental leave, a 4-week paid ramp-back program, and a $10K family forming benefit (covering fertility treatments, adoption, and surrogacy)
  • Time off: Flexible Vacation Policy with no set annual limit or accrual period, Summer Fridays, and an extended holiday period in December
  • Remote work: Ability to enjoy the best of both worlds with flexibility to work from home as needed, as well as access to three well-located offices, designed for collaboration and stocked with everything you could need
    • Opportunities to work remotely from eligible locations for up to 2 months per year
  • Growth: Individualized growth opportunities, including internal and external mentorship panels, custom goals and feedback sessions, and/or access to learning and development programs, including VIA's unrivaled leadership program
    • A dedicated wellness advisor to help you navigate the programs and opportunities available at VIA
  • Transit: Benefits to support commuting costs
  • Connection: In-person events to foster team bonding and collaboration across different teams

Read more about our benefits and perks here.

Our commitment to Diversity and Inclusion:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-Hybrid

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