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

Deloitte

Senior QuickSight Analytics Engineer

Rosslyn, VA · On-site

$119K - $163K/yr

Ability to provide clear guidance to others The team Our Data Engineering team helps build and modernize data platforms that support analytics, reporting, and business decision-making across complex ...

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Senior Analytics Engineer information

See Reston, VA salary details

$61.9K

$131.7K

$190.9K

How much do senior analytics engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for senior analytics engineer in Reston, VA is $131,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $149,300.00 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:

What are popular job titles related to Senior Analytics Engineer jobs in Reston, VA?

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

What job categories do people searching Senior Analytics Engineer jobs in Reston, VA look for?

The top searched job categories for Senior Analytics Engineer jobs in Reston, VA are:

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.

Senior Data Analytics Engineer - Federal Financial and Budget

Washington, DC • Remote

@Orchard
Health Care and Social Assistance • 201 - 500 employees
Learn more about @Orchardexternal

$140K - $185K/yr

Full-time

Re-posted 15 days ago

Job description

Senior Data Analytics Engineer

Federal Financial & Budget Data

Remote/Work from Home within the United States

Must be a U.S. Citizen with an active or interim Secret Clearance.

@Orchard LLC has an immediate need for a Senior Analytics Engineer to support a Department of War client in the integration, engineering, governance, analysis, and visualization of enterprise financial and programmatic data. This role is ideal for a hands-on technical professional who can build and maintain data pipelines, transform complex financial datasets into actionable decision-support products, and support executive-level reporting for budget execution, resource management, and planning activities.

Your responsibilities as a Financial Reporting Consultant. 

·        Develop, maintain, and optimize enterprise data pipelines using Python, SQL, PySpark, Databricks, and related technologies.

·        Integrate, reconcile, and validate data from multiple authoritative financial, operational, and programmatic systems.

·        Design and maintain analytical datasets, data models, semantic layers, and data marts that support recurring and ad hoc reporting needs.

·        Support PPBE, budget execution, financial analysis, spending plan, obligation, and expenditure reporting activities.

·        Build and maintain executive dashboards, scorecards, and visualizations using ADVANA/Qlik.

·        Perform data profiling, cleansing, validation, and quality assessment to improve accuracy, completeness, and reliability.

·        Support data governance activities, including data dictionaries, lineage, metadata, business rules, and quality metrics.

·        Collaborate with client stakeholders to gather requirements and translate business needs into technical solutions.

·        Develop documentation, SOPs, user guides, testing artifacts, and technical materials that support sustainment and auditability.

·        Prepare analytical products and briefing materials that communicate findings and recommendations to technical and non-technical audiences.

Your background will include. 

·        Must be a U.S. Citizen

·        Must possess and maintain a(n) (Interim) Secret Clearance. Given lead time, Iberia will not sponsor new clearance investigations for this role.

·        Bachelor's degree in business, data, or a relevant field

·        5+ years of experience supporting enterprise analytics, data engineering, business intelligence, or financial data initiatives.

·        Strong proficiency with Python and SQL.

·        Experience with Databricks, Spark, PySpark, or similar modern data platforms.

·        Experience integrating, transforming, and reconciling data from multiple enterprise systems. This must include experience with DAI at USMC or another DoW entity.

·        Experience developing dashboards or visualizations using ADVANA/Qlik.

·        Ability to translate business requirements into practical technical solutions.

·        Ability to communicate technical findings clearly to non-technical stakeholders.

Preferred Knowledge, Skills, & Abilities. 

·        Experience supporting Department of War organizations, especially financial management, comptroller, resource management, or PPBE functions.

·        Experience with data governance, metadata management, data lineage, and data quality controls.

·        Experience with Git, GitHub, GitLab, Jira, or similar version control and delivery management tools.

·        Experience with workflow automation, Power Platform, UiPath, Celonis, or process intelligence tools.

·        Experience producing executive-level briefings, dashboards, and decision-support materials.

Compensation: Compensation for this role will be determined based on experience and qualifications. The expected base salary range is between $140K and $185K. Generous benefits, bonus eligibility, and significant professional development support are all available.

Established in 2010, @Orchard has an exceptional reputation, providing staffing solutions to time-sensitive, talent-scarcity issues to deliver better talent management ROI.  Our specialty lies in the critical area of program talent acquisition and resource management, not in one narrow skillset, but across many areas of technical and functional delivery. To learn more about our other exciting opportunities, visit our Jobs Page at www.atorchard.com.