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Data Analytics Engineer Jobs in Baltimore, MD (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 ...

Under Armour, Inc.

Sr. Data Analytics Engineer

Baltimore, MD · 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 ...

Under Armour

Sr. Data Analytics Engineer

Baltimore, MD · 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 ...

Saft

Manufacturing Analytics Engineer

Cockeysville, MD · On-site

$69K - $89K/yr

... Engineer to join their in-house analytics and operational support team ... The role involves data collection and analysis for business support functions, as well as providing ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Baltimore, MD

Data Analytics Engineer information

See Baltimore, MD salary details

$44.2K

$128.9K

$176.4K

How much do data analytics engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data analytics engineer in Baltimore, MD is $128,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $136,600.00 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 Baltimore, MD? The most popular types of Data Analytics Engineer jobs in Baltimore, MD are:
What are popular job titles related to Data Analytics Engineer jobs in Baltimore, MD? For Data Analytics Engineer jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Baltimore, MD look for? The top searched job categories for Data Analytics Engineer jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Data Analytics Engineer jobs? Cities near Baltimore, MD with the most Data Analytics Engineer job openings:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $128,886 per year, or $62 per hour.

Data Analytics Engineer

GIGATEC Engineering

Annapolis Junction, MD • On-site

$117K - $140K/yr

Full-time

Re-posted 8 days ago

Job description

Job Summary:
GIGATEC Engineering is seeking a Data Analytics Engineer to play a key role in building workflow engines. The position involves designing reliable Apache Airflow pipelines to ensure efficient data movement for analytics and operational needs.
Responsibilities:
• 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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