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Manager Data Analytics Engineer Jobs in Reston, VA

Amentum

Program Manager - Data Analytics

Mclean, VA · On-site

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 ...

Pae

Program Manager - Data Analytics

Mclean, 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 ...

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All 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 Jun 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 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 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $134,951 per year, or $64.9 per hour.

Junior Data Analytics Engineer (Remote)

Cardinal Technology Systems, Corp.

Ashburn, VA • Remote

$60K - $90K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 26 days ago

Job description

Responsibilities

Cardinal Technology Systems Corp. is a government IT solutions provider servicing commercial and government initiative in various parts of the United States. We are currently seeking a Jr. Data Analytics Engineer to work for our company.

Summary
  • Must possess DoD Top Secret, DHS EOD, CBP Full BI, or IT-I security clearance or have a current Single Scope Background Investigation (SSBI). (Basic Federal Clearance requirements are U.S. Citizenship, clear criminal history check, no recent or pending bankruptcies)
  • Assist in the design, development, and deployment of reports, dashboards, and data visualizations using business intelligence (BI) tools such as SAP Business Objects or similar platforms.
  • Collaborate with data engineering teams to support the use of dimensional models, including fact and dimension tables (star/snowflake schemas), for reporting.
  • Write and maintain SQL queries within Oracle and Databricks environments to extract and prepare data for reporting applications.
  • Work with business analysts and stakeholders to help gather requirements, translate business needs into technical specifications, and support the delivery of reporting solutions.
  • Assist in monitoring and improving the performance of reports and underlying queries to help ensure a reliable and user-friendly experience.
  • Gain exposure to and support the use of AWS services (e.g., S3, EMR, Redshift, Glue) for cloud-based reporting solutions.
  • Support the management of reporting assets, including documentation, version control, scheduled refreshes, and ongoing maintenance and enhancements.
Requirements
  • Must possess DoD Top Secret, DHS EOD, CBP Full BI, or IT-I security clearance or have a current Single Scope Background Investigation (SSBI). (Basic Federal Clearance requirements are U.S. Citizenship, clear criminal history check, no recent or pending bankruptcies)
  • Bachelor's degree in computer science or related engineering field.
  • 1-3 (maximum of 5 years) of hands-on experience with SQL programming.
  • 1-3 (maximum of 5 years) of experience with at least one major BI platform, (e.g. PowerBI, Tableau, Qlik).
  • Experience with performing data analysis and interpreting results.
  • Conceptual understanding of data warehousing concepts and dimensional modeling, including a clear ability to articulate the difference and use cases for star vs. snowflake schemas.
  • High level of self-motivation, willingness to learn new technologies and work in a distributed team environment.
  • The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations.
Preferences
  • 1-3 years of experience in dedicated reporting, business intelligence, or data analytics role.
  • Experience developing reports and running queries within a Databricks environment (using notebooks, SQL Warehouses, etc.).
  • Familiarity with navigating the AWS ecosystem, specifically with services related to data storage and access like S3 and IAM.
  • AWS Certification (e.g. AWS Certified Data Analytics Specialty or Solutions Architect).
  • Proficiency in a scripting language, particularly Python (Pandas, Pyspark) for data manipulation or automation.
  • Strong communication skills with ability to present technical findings to non-technical stakeholders.
Benefits

Medical, Dental, Vision Benefits
Paid Life
Paid Vacation, Holidays, Sick Leave, Floating Holidays, Bereavement Leave
Semi-monthly pay cycle

Work With Us

Cardinal Technology Systems, Corp (CTech-Sys), www.ctech-sys.com, is an SBA Certified 8(a) and HUBZone company located in the National Capital Region (NCR) and serves both government and commercial clients such clients as US CBP, US CIS, DLA, DFuse Technologies, and American Environmental Engineering Consultants.

Cardinal Technology Systems, Corp is an Equal Employment Opportunity employer and it's our policy to consider applicants for employment without regard to sex, race, color, creed, religion, national origin, sexual orientation, marital status, age, disability, veteran status, alienage, ancestry, or any other factors prohibited by law. Employment selections are based on company and client requirements and the qualifications and skills of the candidate. CTech-Sys is committed to actively capitalizing on the diversity of skills, talents and perspectives of our employees.