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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 ...

CGI Inc.

Senior Data Analytics Engineer

Reston, VA · On-site

Senior Data Analytics Engineer Category: Business Analysis (functional and technical) Main location: United States, Virginia, Reston Position ID:J0726-0947 Employment Type: Full Time U.S. - Finding ...

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

Data Analytics Engineer information

See Washington, DC salary details

$50.2K

$146.4K

$200.3K

How much do data analytics engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data analytics engineer in Washington, DC is $146,365.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,200.00 and $155,100.00 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.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

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.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

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 systems 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 deliver actionable insights.
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 July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $146,862 per year, or $70.6 per hour.

Data Analytics Engineer

GIGATEC Engineering

Annapolis Junction, MD • On-site

$117K - $140K/yr

Full-time

Posted 28 days ago

Job description

Job Summary:
GIGATEC Engineering is seeking a Data Analytics Engineer to build workflow engines and design reliable Apache Airflow pipelines. The role involves ensuring data is efficiently processed for analytics and operational needs.
Responsibilities:
• In this key Data 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 and operational needs.
Qualifications:
Required:
• Top Secret clearance
• favorable completion of a polygraph
• authorized to work in the U.S.
• Experience using the Linux CLI and Linux tools
• Experience developing Bash scripts to automate manual processes
• Recent software development experience using Python and Java
• Experience using Apache Airflow (DAG design, scheduling, operators, sensors) to orchestrate, schedule, and monitor complex workflows
• Experience using Distributed Big Data processing engines including Apache Spark
• Experience with containerization technologies such as Docker, containerd, and Podman
• Experience with Git Source Control System
Preferred:
• Experience using the Atlassian Tool Suite (JIRA, Confluence)
• Familiar with AWS Cloud Services and Infrastructure
• Appreciates a sense of humor and the occasional well-timed joke.
Company:
At GIGATEC, we specialize in engineering advancements across cybersecurity, software development, and systems integration. Founded in 2020, the company is headquartered in Columbia, USA, with a team of 2-10 employees. The company is currently Early Stage.

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