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Analytics Engineer Jobs in Reston, VA (NOW HIRING)

Analytics Engineer

Washington, DC · Remote

$80 - $100/hr

Lead Analytics Engineer / Delivery Lead Client Location: McLean, VA Work Location: Remote (USA) Duration: Long Term Rate: Quote your best Required Qualifications: * At least 10+ years extensive ...

Analytics Engineer

Washington, DC · On-site +1

$80 - $100/hr

Lead Analytics Engineer / Delivery Lead Client Location: McLean, VA Work Location: Remote (USA) Duration: Long Term Rate: Quote your best Required Qualifications: * At least 10+ years extensive ...

As an Analytics Engineer, you will play a key role in transforming data into meaningful insights that drive institutional decision-making. You'll partner with cross-functional teams to design ...

As an Analytics Engineer, you will play a key role in transforming data into meaningful insights that drive institutional decision-making. You'll partner with cross-functional teams to design ...

The video Analytics Engineer would work with our team to build, develop and deploy image classification, object detection, video understanding, and imagery analysis services. Key Responsibilities ...

Senior Analytics Engineer

Washington, DC · On-site

$93K - $120K/yr

This role focuses on analytics engineering and data modeling, not traditional pipeline-heavy data engineering. We are looking for someone who understands the why behind the data, not just the how

Leidos is hiring a Software/Analytics Engineer to support a Federal Program Office within the Stockpile Sustainment Directorate for the National Nuclear Security Administration (NNSA). The successful ...

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Leidos is hiring a Software/Analytics Engineer to support a Federal Program Office within the Stockpile Sustainment Directorate for the National Nuclear Security Administration (NNSA). The successful ...

New

Leidos is hiring a Software/Analytics Engineer to support a Federal Program Office within the Stockpile Sustainment Directorate for the National Nuclear Security Administration (NNSA). The successful ...

New

Leidos is hiring a Software/Analytics Engineer to support a Federal Program Office within the Stockpile Sustainment Directorate for the National Nuclear Security Administration (NNSA). The successful ...

New

Leidos is hiring a Software/Analytics Engineer to support a Federal Program Office within the Stockpile Sustainment Directorate for the National Nuclear Security Administration (NNSA). The successful ...

New

Leidos is hiring a Software/Analytics Engineer to support a Federal Program Office within the Stockpile Sustainment Directorate for the National Nuclear Security Administration (NNSA). The successful ...

New

Leidos is hiring a Software/Analytics Engineer to support a Federal Program Office within the Stockpile Sustainment Directorate for the National Nuclear Security Administration (NNSA). The successful ...

New

Leidos is hiring a Software/Analytics Engineer to support a Federal Program Office within the Stockpile Sustainment Directorate for the National Nuclear Security Administration (NNSA). The successful ...

New

Leidos is hiring a Software/Analytics Engineer to support a Federal Program Office within the Stockpile Sustainment Directorate for the National Nuclear Security Administration (NNSA). The successful ...

New

We are looking for a highly independent Lead Analytics Engineer to own and evolve our enterprise BI data layer, built on Snowflake and DBT. This role goes beyond implementation - you will be ...

New

Leidos is hiring a Software/Analytics Engineer to support a Federal Program Office within the Stockpile Sustainment Directorate for the National Nuclear Security Administration (NNSA). The successful ...

New

Leidos is hiring a Software/Analytics Engineer to support a Federal Program Office within the Stockpile Sustainment Directorate for the National Nuclear Security Administration (NNSA). The successful ...

New

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Showing results 1-20

Analytics Engineer information

What are the key skills and qualifications needed to thrive as an Analytics Engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

How does an Analytics Engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an Analytics Engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

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 Analytics Engineer jobs in Reston, VA? For Analytics Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer jobs in Reston, VA look for? The top searched job categories for Analytics Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Analytics Engineer jobs? Cities near Reston, VA with the most Analytics Engineer job openings:
Infographic showing various Analytics Engineer job openings in Reston, VA as of May 2026, with employment types broken down into 85% Full Time, 6% Part Time, and 9% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Analytics Engineer

AHU Technologies Inc

Washington, DC • Remote

$80 - $100/hr

Full-time

Posted 10 days ago


Job description

Position: Lead Analytics Engineer / Delivery Lead
Client Location: McLean, VA
Work Location: Remote (USA)
Duration: Long Term
Rate: Quote your best
Required Qualifications:
  • At least 10+ years extensive experience in Analytics or Data engineering roles, with a strong record of leading delivery of analytics and data pipeline initiatives in a research or analytics-driven environment.
  • Should have expertise supporting Clinical Research teams and working with clinical electronic data capture (EDC) data and related medical or pharmaceutical datasets.
  • Demonstrated experience directly managing analytics engineers or developers, including work planning, task assignment, prioritization, mentoring, and performance feedback.
  • Strong ownership of project timelines, milestones, and deliverables, including effort estimation, dependency management, and accountability for on-time, high-quality delivery.
  • Deep hands-on experience designing, building, and maintaining ETL/ELT processes, including production support, monitoring, optimization, and issue resolution.
  • Strong technical expertise with SQL, Python, and modern data platforms, including hands-on delivery in environments such as Microsoft Fabric (Notebooks, Data Pipelines, Lakehouse/Warehouse) or equivalent platforms.
  • Ability to quickly learn new data sources, clinical workflows, and platform capabilities and apply them effectively in a fast-paced, delivery-driven environment.
  • Excellent communication and delivery leadership skills, with demonstrated ability to:
  • Translate business, research, or clinical priorities into executable delivery plans.
  • Communicate status, risks, and delivery impacts clearly to technical and non-technical stakeholders.
  • Coordinate work across engineers, analysts, and business partners to meet commitments.
  • Strong experience with source control and collaborative development practices, including:
  • Enforcing branch strategies, pull request workflows, and release standards.
  • Ensuring all analytics code, notebooks, and ETL/ELT logic are version-controlled.
  • Maintaining change traceability across environments.
  • Clear accountability for code quality and technical review, including:
  • Conducting and enforcing code reviews and technical design reviews.
  • Establishing and upholding coding standards, testing expectations, and documentation requirements.
  • Providing constructive technical feedback and mentoring to engineers.
  • Ability to work independently in a contractor role, balancing hands-on technical involvement with delivery leadership and accountability.

This is a remote position.