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Data Analytics Engineer Jobs in Maryland (NOW HIRING)

Data Analytics Engineer

Lexington Park, MD ยท On-site

$111K - $133K/yr

They are seeking a Data Analytics Engineer to work with operational and customer stakeholders to acquire, process, and analyze diverse data sources for mission-critical projects. Responsibilities ...

Data Analytics Engineer

Lexington Park, MD ยท On-site

$111K - $133K/yr

Work with data engineers & developers to acquire, process, and format data both at source and post-extraction to create analytical products * Work hand-in-hand with data analysts & data scientists to ...

Data Analytics Engineer

Lexington Park, MD ยท On-site

$111K - $133K/yr

Responsibilities The NAVAIR Digital Department, Command Data Officer Team is seeking a Data Analytics Engineer to work with our diverse operational and customer stakeholders to identify, help acquire ...

Data Analytics Engineer

Annapolis, MD ยท 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 ...

Sr. Data Analytics Engineer

Baltimore, MD ยท On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will ...

Sr. Data Analytics Engineer

Baltimore, MD ยท On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will ...

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Data Analytics Engineer information

See Maryland salary details

$43.2K

$125.9K

$172.3K

How much do data analytics engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data analytics engineer in Maryland is $125,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,100.00 and $133,400.00 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 are the most commonly searched types of Data Analytics Engineer jobs in Maryland? The most popular types of Data Analytics Engineer jobs in Maryland are:
What are popular job titles related to Data Analytics Engineer jobs in Maryland? For Data Analytics Engineer jobs in Maryland, the most frequently searched job titles are:
What cities in Maryland are hiring for Data Analytics Engineer jobs? Cities in Maryland with the most Data Analytics Engineer job openings:
Infographic showing various Data Analytics Engineer job openings in Maryland as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $125,895 per year, or $60.5 per hour.

Data Analytics Engineer

Sabre Systems, LLC

Lexington Park, MD โ€ข On-site

$111K - $133K/yr

Full-time

Re-posted 25 days ago


Job description

Job Summary:
Sabre Systems, LLC is a technology solutions provider supporting the Department of Defense and other sectors for over 35 years. They are seeking a Data Analytics Engineer to work with operational and customer stakeholders to acquire, process, and analyze diverse data sources for mission-critical projects.
Responsibilities:
โ€ข Work with data engineers & developers to acquire, process, and format data both at source and post-extraction to create analytical products
โ€ข Work hand-in-hand with data analysts & data scientists to ready diverse data sources for analytics work
โ€ข Liaise with business and operational stakeholders and customers to understand business needs, metrics, and goals and objectives. Translate and map user requirements to underlying data sources and develop plans for how those data sources can be extracted
โ€ข Work with data scientists, analysts, architects, and business stakeholders to develop thorough documentation for data sources and pipelines (e.g. data dictionaries, flow models, etc)
Qualifications:
Required:
โ€ข Bachelorโ€™s degree in an information technology related field is required
โ€ข Three (3) years of related experience is required
โ€ข Thorough working knowledge of at least two analytical programming languages (R, Python, Scala, SQL)
โ€ข Working knowledge of code repositories & version control (Git)
โ€ข Basic working knowledge at least one BI/visualization tool (Qlik, Tableau, Power BI)
โ€ข Technical and business domain-focused customer experience
โ€ข A Security + certification is required within 90 days of higher
โ€ข An active DoD Secret Clearance or higher is required
โ€ข Selected candidate must pass a background investigation
Preferred:
โ€ข Masterโ€™s degree is preferred
โ€ข Experience working with Cybersecurity / RMF
โ€ข Knowledge of advanced analytics principals (statistical modeling, machine learning, AI)
โ€ข Experience building/maintaining/automating dashboards for users
โ€ข Military background a plus
Company:
Sabre Systems LLC is a quality driven, customer focused business providing innovative and sustainable solutions in the areas of Cyber, Systems and Software Engineering, Advanced Communication Technologies and Digital Engineering. Founded in 1989, the company is headquartered in Lexington Park, USA, with a team of 201-500 employees. The company is currently Growth Stage.