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Analytics Engineer Jobs in Washington, DC (NOW HIRING)

Deloitte

Senior QuickSight Analytics Engineer

Washington, DC · On-site

$118K - $162K/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 ...

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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Analytics Engineer information

See Washington, DC salary details

$67.1K

$117.2K

$191.1K

How much do analytics engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for analytics engineer in Washington, DC is $117,175.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,503.00 and $131,523.00 per year, depending on experience, location, and employer.

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 Washington, DC?

The most popular types of Analytics Engineer jobs in Washington, DC are:

What are popular job titles related to Analytics Engineer jobs in Washington, DC?

For Analytics Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Analytics Engineer jobs in Washington, DC look for?

The top searched job categories for Analytics Engineer jobs in Washington, DC are:

Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $117,175 per year, or $56.3 per hour.

Manager, BI + Analytics Engineer

Peregrine Technologies

Washington, DC • On-site

$57.75 - $75/hr

Full-time

Re-posted 6 days ago

Job description

Backed by leading Silicon Valley investors, Peregrine helps public safety organizations, state and local and governments, federal agencies, and private-sector institutions address society's challenges with unprecedented speed and accuracy. Our AI-enabled platform turns siloed and disconnected data into operational intelligence - instantly surfacing mission-critical information to empower better, faster decisions that improve outcomes at every touchpoint. Today Peregrine supports hundreds of customers across 30+ states and two countries, serving more than 125 million people - and we're amplifying our impact as we expand into the enterprise and internationally.
The Role
As Peregrine's Manager, BI + Analytics Engineer, you'll play a foundational role in shaping how data is modeled, accessed, and used across the company. You will own the architecture and execution of our internal analytics stack, partnering closely with stakeholders across Product, Sales, Finance, and Operations to turn raw data into insight and insight into action.
This is a highly cross-functional and high-visibility role - you'll work directly with leaders across the business to define KPIs, automate workflows, and level up our data infrastructure. If you're a hands-on builder who thrives in ambiguity, loves translating business questions into clean data pipelines, and wants to shape the future of data at a mission-driven company, we want to hear from you.
What You'll Do
  • Own and scale our data warehouse to support a fast-growing Go-To-Market and product ecosystem
  • Build and maintain ETL pipelines using dbt to integrate data from tools, apps, and third-party platforms
  • Design clean, reusable data models that power reporting across Sales, Marketing, Product, and Finance
  • Create dashboards and analysis that uncover trends in revenue, product usage, and customer behavior
  • Set up data quality checks and alerts to ensure accurate, timely, and trustworthy data
  • Support planning and forecasting by partnering with teams to define KPIs and build forward-looking models
What We Look For
  • 4+ years of experience as a BI Engineer, Analytics Engineer, or Data Engineer in a fast-growing tech environment
  • Strong command of SQL and data modeling best practices
  • Proficiency in dbt, modern data warehouses (Snowflake/BigQuery), and orchestration tools (Airflow, Prefect)
  • Experience with BI tools such as Looker, Hex, Mode, Sigma, or similar
  • Strong product and business sense - you know how to balance technical purity with speed, scalability, and impact
  • Comfort working autonomously and owning projects end-to-end
  • Excellent communication skills with an ability to translate complex concepts to non-technical audiences
  • Located in Washington, D.C. and willing to work in office four days a week

Salary Range: $150,000 - $180,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)
Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific work location. Information on the benefits offered is here.
Peregrine Technologies is committed to creating an inclusive environment for all employees. We celebrate diversity and are a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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