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Analytics Engineer Jobs in Washington, DC (NOW HIRING)

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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.

Cloud Analytics Engineer 2 with Security Clearance

White Sky Technologies LLC

Annapolis Junction, MD • On-site

$57 - $76/hr

Other

PTO

Re-posted 23 days ago

Job description

We are seeking a Cloud Analytics Engineer to join our growing team! Looking for a team player who has a strong understanding of cloud analytics, large scale analytics and analytic programming languages to join a production team developing foundational identity intelligence analytics. Desired Skills • GhostMachine Analytic experience
• Portable Map Reduce (PMR) framework
• Familiarity with AVP process and represent to AVG
• JAVA/Spring Framework/Spring Boot
• NiFi and Notifier experience
• Atlassian tool suite
• GitLab Requirements
14+yrs of experience as an engineer in programs and contracts of similar scope, type and complexity
Bachelors degree in a technical discipline from an accredited college or university is required. Five (5) years of additional experience may be substituted for a bachelor's degree
Active TS/SCI w/ poly clearance
Salary range - $185,000-$210,000, based on qualifications/experience
Please check out our amazing benefits and generous PTO plan HERE!! White Sky Technologies, LLC., provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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