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Data Analytics Engineer Jobs in Washington, DC (NOW HIRING)

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 ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Washington, DC

Data Analytics Engineer information

See Washington, DC salary details

$50.3K

$146.5K

$200.4K

How much do data analytics engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analytics engineer in Washington, DC is $146,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,300.00 and $155,300.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What are the key skills and qualifications needed to thrive as a data analytics engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are the most commonly searched types of Data Analytics Engineer jobs in Washington, DC?

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

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

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

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

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

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $146,477 per year, or $70.4 per hour.

Data Analytics Engineer

Blue Sky Innovative Solutions

Washington, DC • On-site

$129K - $155K/yr

Full-time

Re-posted 7 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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