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Manager Data Analytics Engineer Jobs in Reston, VA

HYERTEK INC

Sr. Analytics Engineer

Rockville, MD

$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 ...

HelioCampus

Analytics Engineer

Bethesda, MD · On-site +1

We help our clients navigate today's high stakes with data and Institutional Performance Management ... As an Analytics Engineer, you will play a key role in transforming data into meaningful insights ...

HelioCampus

Analytics Engineer

Bethesda, MD · On-site +1

We help our clients navigate today's high stakes with data and Institutional Performance Management ... As an Analytics Engineer, you will play a key role in transforming data into meaningful insights ...

Highspring

Senior Consultant - Data & Analytics

Mclean, VA

$86K - $109K/yr

... engineering, analytics, and transformation. We help clients maximize the value of their data by ... Manage discrete project workstreams, balancing technical execution with client communication and ...

The Bulwark

Analytics Engineer

Washington, DC · On-site

$120K - $130K/yr

Analytics Engineer Department: Sales & Marketing Employment Type: Full Time Location: Washington ... You'll connect data across subscriptions, newsletters, podcasts, video, live events, marketing ...

Highspring

Senior Consultant - Data & Analytics

Mclean, VA · On-site

$76K - $122K/yr

... engineering, analytics, and transformation. We help clients maximize the value of their data by ... Manage discrete project workstreams, balancing technical execution with client communication and ...

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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 Jul 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 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.
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Manager Data Analytics Engineer jobs near you

AI & Data Analytics Lead with Security Clearance

Anonymous Employer

Arlington, VA • On-site

Other

Posted 14 days ago

Job description

Location: Hybrid; remote/onsite in Arlington, VA We are seeking a proactive Lead AI & Data Analytics Engineer to support a federal acquisition process modernization effort. This individual will serve as the technical and functional lead for building AI-enabled analytics products using Palantir Foundry, Microsoft Power Platform, Advana, Jupiter, and Databricks. This is not a traditional dashboard developer role. The successful candidate must be a self-starter who can engage directly with business stakeholders, understand acquisition and contract writing processes, identify high-value use cases, connect data across platforms, and deliver decision-support capabilities with limited oversight. The ideal candidate will help the client move from static reporting to integrated, AI-enabled analytics that generate actionable insights, identify risk, improve visibility, and support better acquisition decision-making. Required Qualifications: - 5+ years of experience in data analytics, data engineering, platform engineering, business intelligence, AI/ML, or analytics product development.
- Experience building analytics products in Palantir Foundry.
- Experience working with Advana, Jupiter, or similar federal/DoD data environments.
- Strong experience with SQL, Python, TypeScript/JavaScript.
- Hands-on expertise with one or more modern data engineering, analytics, or data platform technologies (e.g. Databricks, Spark, Kafka, Hadoop, Snowflake, Azure Data Factory, AWS Glue, Apache NiFi, Delta Lake).
- Experience integrating and transforming data from multiple sources and translating business requirements into data products, dashboards, AI use cases, and technical solutions.
- Experience applying AI, machine learning, NLP, generative AI, semantic search, or natural language querying to business or operational data.
- Strong understanding of data governance, data quality, access control, and responsible AI practices.
- Demonstrated ability to lead use cases, manage ambiguity, and deliver results with limited oversight.
- Strong client-facing communication skills and stakeholder engagement skills.
- Eligible to obtain a U.S. Government clearance
- Experience with Microsoft Power Platform, including Power BI; Power Apps and Power Automate.
- Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Mathematics, Physics, or a related technical field, or equivalent experience.

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