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Analytics Engineer Jobs in Washington, DC (NOW HIRING)

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 ...

Gigatec Engineering

Data Analytics Engineer

Annapolis, MD · On-site

$113K - $136K/yr

... Engineering role, you'll get to build the workflow engines behind the curtain, designing reliable Apache Airflow pipelines that keep data moving cleanly, efficiently, and on schedule for analytics ...

Deloitte

GCP Cloud Analytics Engineer

Mclean, VA · On-site

$56.25 - $75.25/hr

GCP Cloud Analytics Engineer Data-driven organizations need modern cloud analytics solutions that turn information into insight and action. As a Data Engineer II, GCP Cloud Analytics, you will help ...

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Deloitte

GCP Cloud Analytics Engineer

Rosslyn, VA · On-site

$63.50 - $85/hr

GCP Cloud Analytics Engineer Data-driven organizations need modern cloud analytics solutions that turn information into insight and action. As a Data Engineer II, GCP Cloud Analytics, you will help ...

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Doist

Manager, BI + Analytics Engineer

Washington, DC · On-site

$150 - $180/hr

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 ...

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All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Washington, DC

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.

Data Analytics Engineer

Blue Sky Innovative Solutions

Washington, DC • On-site

$129K - $155K/yr

Full-time

Re-posted 6 days ago

Job description

Job Summary:
Blue Sky Innovative Solutions is hiring a Data Analytics Engineer to transform complex data into actionable insights that support critical decision-making. This position involves building data pipelines, cleansing and transforming large datasets, and implementing advanced analytics and reporting tools.
Responsibilities:
• Build, test, and deploy data pipelines and analytic models in support of operations.
• Perform data wrangling, cleansing, and transformation for reporting and dashboards.
• Implement advanced analytics, including trend analysis, anomaly detection, and predictive modeling.
• Support the integration of multiple government and contractor data systems.
• Work closely with the Data Architect to ensure scalable, secure, and efficient data solutions.
Qualifications:
Required:
• Bachelor's in Computer Science, Statistics, Data Science, or related field.
• 7+ years of experience in data engineering or analytics with large datasets.
• Strong expertise in SQL, Python, R, and data visualization tools (e.g., Tableau, Power BI).
• TS/SCI clearance required.
Preferred:
• Experience with DoD or intelligence community systems strongly preferred.
Company:
Blue Sky Innovative Solutions (Blue Sky) understands the business and information technology challenges and opportunities that face government and private sector clients and we have the demonstrated capabilities to address them. Founded in 2014, the company is headquartered in Washington, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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