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Analytics Engineer Jobs in Maryland (NOW HIRING)

Axle

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Develop reusable transformation logic and curated datasets that support analytics, reporting ... Data Engineering Expertise: Strong proficiency in Python and SQL for data manipulation ...

Axle

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Develop reusable transformation logic and curated datasets that support analytics, reporting ... Data Engineering Expertise: Strong proficiency in Python and SQL for data manipulation ...

Axle

Data Engineer

Rockville, MD

$116K - $140K/yr

Develop reusable transformation logic and curated datasets that support analytics, reporting ... Data Engineering Expertise: Strong proficiency in Python and SQL for data manipulation ...

KBR, Inc.

Structural Analysis Engineer Jr.

Greenbelt, MD · On-site

$93K - $168K/yr

Structural Analysis Engineer Jr. BELONG. CONNECT. GROW. with KBR. Around here, we define the future. We are a company of innovators, thinkers, creators, explorers, volunteers, and dreamers. But we ...

KBR

Structural Analysis Engineer Jr.

Greenbelt, MD · Hybrid

$93K - $168K/yr

Structural Analysis Engineer Jr. BELONG. CONNECT. GROW. with KBR. Around here, we define the future. We are a company of innovators, thinkers, creators, explorers, volunteers, and dreamers. But we ...

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All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Maryland

Analytics Engineer information

See Maryland salary details

$62.3K

$108.8K

$177.4K

How much do analytics engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for analytics engineer in Maryland is $108,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,234.00 and $122,101.00 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 Maryland?

The most popular types of Analytics Engineer jobs in Maryland are:

What are popular job titles related to Analytics Engineer jobs in Maryland?

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

What job categories do people searching Analytics Engineer jobs in Maryland look for?

The top searched job categories for Analytics Engineer jobs in Maryland are:

What cities in Maryland are hiring for Analytics Engineer jobs?

Cities in Maryland with the most Analytics Engineer job openings:

Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Maryland as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $108,780 per year, or $52.3 per hour.

Data Analytics Engineer - PRIME, Hybrid - Top Secret

stanleyreid

Annapolis Junction, MD • Hybrid

$133K - $238K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Who We Are
Stanley Reid is a specialized recruiting firm connecting top contractors with exciting IC/DoD opportunities. We're dedicated to a personalized, stress-free job search, matching your unique skills and goals with the perfect role.
The Role
Our client is seeking a Senior Data Engineer / Technical Lead to support mission-critical cyber and network operations within the Department of War and Intelligence Community. In this role, you will design, build, and optimize data pipelines that transform complex, high-volume data into actionable intelligence supporting national security efforts.
Qualified Senior Data Engineer should have the below skills: 
-9+ years of experience in data engineering, software engineering, or related technical fields and a Bachelors in a related field
-Strong experience designing and building ETL pipelines and data ingestion frameworks
-Hands-on experience with Kafka, NiFi, and AWS (S3, SQS)
-Proficiency in Java with experience in unit and integration testing
-Secret clearance and a DoD 8570 IAT II certification (or higher)
*Please note: Applicants may be required to complete a coding challenge during the interview process per customer requirements. 
This work supports a hybrid work model with 1-2 days onsite (Columbia, MD) a week, the remainder will be remote. Candidates must be a US Citizen with an active Top Secret level government clearance. Salary for this role is between $133,000 – $238,000, depending on experience, clearance level, location, and contract requirements.