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Manager Data Analytics Engineer Jobs in Reston, VA

Highspring

Manager, Data & Analytics

Mclean, VA

... 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 ...

Highspring

Manager, Data & Analytics

Mclean, VA · On-site

... 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 ...

Highspring

Manager, Data & Analytics

Mclean, VA · On-site

... 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 ...

Axon

Senior Data Analytics Engineer

Sterling, VA

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Sallie_mae

Manager, Data Analytics

Sterling, VA · On-site

What You'll Contribute As the Manager of Data Analytics, you will be responsible for leading a team ... Experience with SQL, Python, R, or other programming languages commonly used in analytics.

Axon

Senior Data Analytics Engineer

Sterling, VA · On-site

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

SAP

SAP NS2 Data Analytics Engineer

Herndon, VA · Hybrid

$117K - $141K/yr

All internals must have manager's approval to transfer. SAP NS2 Data and Analytics Engineer - Hybrid - Herndon, VA; Newtown Square, PA The oCOO Data Management team is responsible for providing ...

SAP

SAP NS2 Data Analytics Engineer

Herndon, VA · On-site

$117K - $141K/yr

All internals must have manager's approval to transfer. SAP NS2 Data and Analytics Engineer - Hybrid - Herndon, VA; Newtown Square, PA The oCOO Data Management team is responsible for providing ...

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 ...

Highspring

Senior Manager, Data & Analytics

Mclean, VA · On-site

... 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 ...

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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.

Pega Data Analytics Engineer

Compass Pointe Consulting

Vienna, VA • On-site

$114K - $138K/yr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago

Job description


Senior Data Analytics Engineer - Pega CDH / Databricks
Position Overview
We are seeking a highly analytical and technically skilled Senior Data Analytics Engineer to support the development, implementation, and monitoring of advanced Customer Decision Hub (CDH) modeling capabilities. This role will focus on enabling faster analysis, improving data accessibility, and standardizing analytical processes across enterprise marketing and analytics teams.
The ideal candidate will have strong experience working within Databricks environments using Python/PySpark and SQL, along with expertise in large-scale data analysis, model performance monitoring, and customer interaction analytics. Experience with Pega Customer Decision Hub (Pega CDH) is strongly preferred.
This position will partner closely with analytics, modeling, marketing, and decisioning teams to create scalable analytical frameworks, reusable notebooks, and actionable monitoring solutions that improve customer engagement and model effectiveness.
Key Responsibilities
  • Develop and maintain a library of reusable queries, scripts, and analytical assets to replicate CDH customer contextual objects within external analytical platforms such as Databricks and ASL.
  • Standardize analytical processes and data retrieval methodologies for broader team usage and consistency.
  • Build scalable data pipelines and analytical frameworks using Python/PySpark and SQL.
  • Create reusable Databricks notebooks that enable self-service analytics across multiple business functions.
  • Develop standardized analytical solutions for interaction-to-outcome attribution analysis, model-to-interaction mapping, predictor performance tracking, member profile mapping, distribution analysis, arbitration analysis, and channel engagement analysis.
  • Support implementation and analysis of new model-related capabilities and features.
  • Establish baseline KPIs and monitoring frameworks for new modeling initiatives.
  • Design and support back-testing methodologies for model enhancements and propensity threshold analysis.
  • Monitor model maturity, performance trends, and operational effectiveness.
  • Develop near real-time monitoring approaches to identify low propensity scores, ineffective actions, and engagement gaps.
  • Improve visibility into model health and Next Best Interaction (NBI) program effectiveness.
  • Design analytical frameworks for eligible audience monitoring and treatment analysis.
  • Correlate interactions with demographic and behavioral data for deeper customer insights.

Required Qualifications
  • Bachelor's degree in Computer Science, Data Analytics, Information Systems, Mathematics, Statistics, or related field (or equivalent experience)
  • Strong hands-on experience with Databricks environments
  • Advanced proficiency in Python, PySpark, and SQL
  • Experience building reusable analytical frameworks and notebooks
  • Experience performing large-scale data analysis and data modeling
  • Strong understanding of model performance monitoring and KPI development
  • Ability to translate business questions into scalable analytical solutions

Preferred Qualifications
  • Experience with Pega Customer Decision Hub (Pega CDH)
  • Experience supporting marketing analytics, customer engagement, or decisioning platforms
  • Familiarity with propensity models, arbitration logic, and customer interaction analytics
  • Experience with monitoring frameworks and real-time analytical alerting
  • Understanding of customer journey analytics and Next Best Action/Interaction programs
  • Experience working in enterprise analytics or customer intelligence environments

Key Skills
Databricks, Python, PySpark, SQL, Data Engineering, Data Analytics, Model Monitoring, KPI Development, Customer Analytics, Predictive Modeling, Marketing Analytics, Notebook Development, Data Standardization, Decisioning Analytics, Stakeholder Collaboration
Success Metrics
  • Creation of reusable and scalable analytical assets for enterprise use
  • Reduction in time required to conduct CDH and model analysis
  • Improved visibility into model health and customer engagement effectiveness
  • Increased consistency and repeatability of analytical processes
  • Enhanced ability for teams to perform self-service analytics and monitoring

We offer Medical, Dental, Vision, Basic Life, Short-Term Disability, Accident, Term Life, Whole Life, and 401k for all W2 Consultants. A benefit overview will be provided as requested.

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