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Manager Data Analytics Engineer Jobs in Arlington, VA

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

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 ...

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 ...

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 Arlington, VA salary details

$51.2K

$149.2K

$204.2K

How much do manager data analytics engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for manager data analytics engineer in Arlington, VA is $149,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,700.00 and $158,200.00 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 Arlington, VA?

The most popular types of Data Analytics Engineer jobs in Arlington, VA are:

What are popular job titles related to Manager Data Analytics Engineer jobs in Arlington, VA?

For Manager Data Analytics Engineer jobs in Arlington, VA, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Arlington, VA look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Arlington, VA are:

What cities near Arlington, VA are hiring for Manager Data Analytics Engineer jobs?

Cities near Arlington, VA with the most Manager Data Analytics Engineer job openings:

Infographic showing various Manager Data Analytics Engineer job openings in Arlington, VA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $149,233 per year, or $71.7 per hour.

Data Analytics Engineer

Blue Sky Innovative Solutions

Washington, DC • On-site

$129K - $155K/yr

Full-time

Re-posted 7 days ago


Job description

Job Summary:
Blue Sky Innovative Solutions is hiring a Data Analytics Engineer to transform complex data into actionable insights that support critical decision-making. This position involves building data pipelines, cleansing and transforming large datasets, and implementing advanced analytics and reporting tools.
Responsibilities:
• Build, test, and deploy data pipelines and analytic models in support of operations.
• Perform data wrangling, cleansing, and transformation for reporting and dashboards.
• Implement advanced analytics, including trend analysis, anomaly detection, and predictive modeling.
• Support the integration of multiple government and contractor data systems.
• Work closely with the Data Architect to ensure scalable, secure, and efficient data solutions.
Qualifications:
Required:
• Bachelor's in Computer Science, Statistics, Data Science, or related field.
• 7+ years of experience in data engineering or analytics with large datasets.
• Strong expertise in SQL, Python, R, and data visualization tools (e.g., Tableau, Power BI).
• TS/SCI clearance required.
Preferred:
• Experience with DoD or intelligence community systems strongly preferred.
Company:
Blue Sky Innovative Solutions (Blue Sky) understands the business and information technology challenges and opportunities that face government and private sector clients and we have the demonstrated capabilities to address them. Founded in 2014, the company is headquartered in Washington, USA, with a team of 51-200 employees. The company is currently Growth Stage.