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Manager Data Analytics Engineer Jobs in Reston, VA

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 ...

... 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 ...

... 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 ...

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

... 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 ...

... 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 ...

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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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 25, 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:

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

Crystal City, VA • On-site

Ryde Technologies, LLC
Recruiting and Staffing Services • 11 - 50 employees

$130K - $157K/yr

Full-time

Posted 21 days ago


Job description

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, develop, and deploy scalable reporting and analytics solutions for government clients. In this role, you will gather requirements, architect data pipelines, and build high-performance dashboards that enable critical decision-making in secure, fast-paced environments. Your technical expertise and communication skills will directly impact mission outcomes.
**This position is one day per week onsite, four days remote
Core Responsibilities
  • Gather requirements and partner with stakeholders to understand complex data needs and emerging business objectives
  • Design, develop, and deploy scalable, high-performance reporting systems and analytics
  • tools
  • Create and optimize SQL queries, dashboards, and data visualization tools in response to client requirements
  • Identify, research, and integrate disparate data sources while maintaining data integrity and security
  • Communicate effectively with clients and cross-functional teams; respond to requirements in tight timeframes

Requirements
  • Must Be Able to Obtain Public Trust Level 6C
  • Ability to work on-site in Crystal City, Virginia, 1 day per week
  • 5+ years of experience
  • Experience with Report and Dashboard Development
  • Experience with Relational Databases (Oracle, PostgreSQL)
  • Experience with the following technologies:
    • AWS services (S3, RDS, EC2, Lambda, Step Functions, EventBridge, OpenSearch/Elasticsearch
    • JSON and JSON format mediation techniques
    • Business intelligence and visualization tools (PowerBI, Tableau)
    • DevSecOps tools and techniques (Jenkins, Git)
    • Data management and aggregation patterns (data warehouse, data mart, data lake, delta lake, lakehouse, data mesh)

Preferred Additional Skills and Qualifications
  • Bachelor's Degree in Computer Science or related field.

EEO Compliance:
Ryde is an Equal Employment Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Ryde will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.