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Analytics Engineer Jobs in Reston, VA (NOW HIRING)

bulwark

Analytics Engineer

Washington, DC · On-site

As The Bulwark's first Analytics Engineer, you'll build the foundation for how we use data across the company. This is a rare opportunity to build an analytics function at the intersection of data ...

Avison Young

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

@Orchard

Lead Data Analytics Engineer

Washington, DC · Remote

$160K - $230K/yr

Lead Data Analytics Engineer 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 Lead Analytics ...

Forterra

Principal Analytics Engineer

Arlington, VA · On-site

$190K - $220K/yr

Manage team of analytics engineers working with cross-functional stakeholders. * Ensure Forterra is on the cutting edge of robotics analytics. * Manage data governance for analytics and collaborate ...

Geico

Staff Analytics Engineer - Product

Bethesda, MD · On-site

$115K - $230K/yr

GEICO is looking for a Staff Analytics Engineer, Product that provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data ...

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Analytics Engineer information

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.

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 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.

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.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary by experience, location, and industry. They often have skills in SQL, data modeling, and tools like Python or Spark, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

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:

Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Reston, VA as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 86% Physical, 6% Hybrid, and 8% Remote job distribution.

Analytics Engineer

bulwark

Washington, DC • On-site

Full-time

Medical, Retirement, PTO

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

About The Bulwark

We're building one of the most engaged communities in American media.

The Bulwark exists to help readers, listeners, and viewers make sense of a rapidly changing world through sharp analysis, independent thinking, and compelling journalism. More than one million subscribers have joined that mission, creating a community that actively engages with our work across newsletters, podcasts, video, live events, and membership experiences.

That community has helped us build something increasingly rare in media: a profitable, independent, and growing business supported directly by its audience. While many media companies are focused on proving a model, we've built one with significant room to scale.

We're now focused on what comes next: accelerating consumer revenue growth, launching new products and experiences, sharpening our messaging and marketing, and understanding our audience and business more deeply than ever. That's where this role comes in, we're seeking The Bulwark's first Analytics Engineer to establish the analytics foundation that powers decision-making across the business.
As The Bulwark's first Analytics Engineer, you'll build the foundation for how we use data across the company. This is a rare opportunity to build an analytics function at the intersection of data engineering, analytics, and business strategy, ideal for someone who enjoys building data infrastructure as much as uncovering the insights that drive business decisions.

You'll connect data across subscriptions, newsletters, podcasts, video, live events, marketing, finance, and audience platforms to create trusted reporting, shared metrics, and a unified view of the business. From building pipelines and data models to creating dashboards and answering strategic questions, your work will directly influence how we grow subscribers, launch products, invest in marketing, and make decisions across the company.

We're looking for someone who's energized by building from the ground up, thrives in entrepreneurial environments, and wants to shape the future of analytics at one of the fastest-growing independent media companies in the country.
What You'll Do

Build The Bulwark's analytics function
  • Establish the foundations, metrics, and reporting standards that will shape how the company uses data as we continue to grow.
  • Establish best practices for analytics, documentation, and data governance that enable our analytics capabilities to scale alongside the business.
  • Build and maintain integrations between Snowflake and third-party platforms to ensure reliable, scalable access to business data.

Build and maintain our data foundations
  • Audit existing data sources and ingestion pathways across Snowflake, Substack, web/app analytics, financial systems, and marketing platforms.
  • Design and maintain a source-of-truth schema spanning subscriber, engagement, revenue, and product data.
  • Build and refine ingestion and transformation pipelines using Snowflake SQL (and adjacent tooling).

Deliver analysis that drives decisions
  • Partner with Growth, Finance, Editorial, and external platform partners to answer the company's highest-priority business questions.
  • Analyze subscriber acquisition, retention, churn, engagement, and lifetime value to identify opportunities for consumer revenue growth.
  • Design measurement frameworks and analytics to support pricing strategy, promotional campaigns, subscription offers, and experimentation.
  • Build the reporting and data architecture needed to evaluate A/B tests, pricing changes, and new growth initiatives.
  • Measure the effectiveness of marketing campaigns, promotional offers, lifecycle programs, and acquisition channels.
  • Develop dashboards and executive reporting that provide timely visibility into business performance and key growth metrics.
  • Perform ad hoc analyses that uncover opportunities to improve revenue, engagement, and operational efficiency.
  • Develop scalable audience and content taxonomies that improve targeting, personalization, reporting, and subscriber experiences across our products.
You Bring:
  • 6+ years of hands-on experience across analytics engineering, data engineering, or analytics, ideally within subscription media, digital media, or B2C businesses.
  • Strong SQL skills and experience working with Snowflake.
  • Experience with modern ELT tools such as dbt, Fivetran, or equivalent technologies.
  • Experience building dashboards and self-service reporting in Metabase or similar BI platforms.
  • Experience designing subscriber attribution, cohort analyses, and LTV, retention, or churn models.
  • Experience supporting consumer revenue growth through pricing, experimentation, lifecycle marketing, or subscription optimization.
  • Demonstrated ability to leverage AI tools to automate analytics workflows, accelerate insight generation, and improve the efficiency and quality of reporting and decision-making.
  • Excellent communication skills and the ability to translate complex data into actionable insights for technical and non-technical stakeholders.
  • A builder's mindset, an entrepreneurial spirit, and excitement about establishing the analytics foundation for a fast-growing business.
We want people at The Bulwark to thrive. We provide:
  • Full employer-sponsored health plans
  • 401(k) plan with employer match
  • Generous vacation and paid time off
  • Commuter benefits and Employee Assistance Program
This role is based in Washington, DC, where our team works together in person five days a week. We're mission-driven, collaborative, and direct-and we value people who bring ideas and energy to the table.

Interested? We'd love to hear from you. Submit your resume and a brief cover note. 

Apply