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Senior Analytics Engineer Jobs in Reston, VA (NOW HIRING)

AeroVironment

Senior Data Analytics Engineer

Germantown, MD · On-site

$100K - $153K/yr

Worker Type Regular Summary TheSenior Data Analytics Engineer role will be critical in developing and enhancing our Oracle-based data warehouse infrastructure to support enterprise-wide Power BI ...

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MANTECH

Associate BI Analytics Engineer

Herndon, VA · On-site

As an entry-level position, you will work closely with senior engineers and stakeholders to deliver high-quality analytical solutions while growing your skills in business intelligence, data modeling ...

ManTech

Associate BI Analytics Engineer

Herndon, VA

$69K - $116K/yr

As an entry-level position, you will work closely with senior engineers and stakeholders to deliver high-quality analytical solutions while growing your skills in business intelligence, data modeling ...

Omnicom

Senior Analyst, Analytics

Washington, DC · On-site

$71K - $85K/yr

Senior Analyst, Analytics You're curious, organized, methodical, and proactive. You like to use ... Experience with relational databases and statistical analysis/programming languages such as SAS ...

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All JobsAnalytics Engineer JobsSenior Analytics Engineer JobsSenior Analytics Engineer Jobs in Reston, VA

Senior Analytics Engineer information

See Reston, VA salary details

$62K

$131.9K

$191.3K

How much do senior analytics engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior analytics engineer in Reston, VA is $131,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $149,600.00 per year, depending on experience, location, and employer.

What is a senior analytics engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

How does a senior analytics engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.

What are the key skills and qualifications needed to thrive as a senior analytics engineer, and why are they important?

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

What is the difference between Senior Analytics Engineer vs Data Engineer?

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

What are the most commonly searched types of Analytics Engineer jobs in Reston, VA?

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

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For Senior Analytics Engineer jobs in Reston, VA, the most frequently searched job titles are:

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What cities near Reston, VA are hiring for Senior Analytics Engineer jobs?

Cities near Reston, VA with the most Senior Analytics Engineer job openings:

Senior Analytics Engineer jobs near you
Infographic showing various Senior Analytics Engineer job openings in Reston, VA as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $131,664 per year, or $63.3 per hour.

Pega Data Analytics Engineer

Compass Pointe Consulting

Vienna, VA • On-site

$114K - $138K/yr

Other

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.

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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