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Associate Data Engineer Jobs in Baltimore, MD (NOW HIRING)

Endictus Corp

Senior Data Scientist

Columbia, MD · On-site

$146K/yr

... AI and data engineering technologies. Education & Experience * Master's degree with 10 years of relevant experience; or * Bachelor's degree with 12 years of relevant experience; or * Associate ...

Endictus

Senior Data Scientist

Columbia, MD

$146K/yr

... AI and data engineering technologies. Education & Experience * Master's degree with 10 years of relevant experience; or * Bachelor's degree with 12 years of relevant experience; or * Associate ...

Endictus

Senior Data Scientist

Columbia, MD · On-site

$146K/yr

... AI and data engineering technologies. Education & Experience * Master's degree with 10 years of relevant experience; or * Bachelor's degree with 12 years of relevant experience; or * Associate ...

RXinsider LTD.

Staff Cloud Data Platform Engineer

Bowie, MD · On-site

$140 - $170/hr

Overview The Staff Cloud Data Platform Engineer owns and evolves Inovalon's Snowflake data platform ... Inovalon invests in associates to help them stay healthy, save for long-term financial goals, and ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

We are seeking a Data Scientist with an expertise in data engineering, who is specifically focused ... Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of ...

RPMGlobal

Software Engineer Level 4

Annapolis, MD · On-site

$120 - $180/hr

This role is centered on backend development, data engineering, and API development, with emphasis ... Associates Degree with 11 years of experience. * Bachelors' Degree with 9 years of experience.

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Baltimore, MD

Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for associate data engineer in Baltimore, MD is $18.62, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $19.81 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What are the most commonly searched types of Data Engineer jobs in Baltimore, MD?

The most popular types of Data Engineer jobs in Baltimore, MD are:

What are popular job titles related to Associate Data Engineer jobs in Baltimore, MD?

For Associate Data Engineer jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Associate Data Engineer jobs in Baltimore, MD look for?

The top searched job categories for Associate Data Engineer jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Associate Data Engineer jobs?

Cities near Baltimore, MD with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $38,726 per year, or $18.6 per hour.

Data Scientist Development Program (DSDP) - Entry to Expert Level (MD)

National Security Agency/Central Security Service

Fort George G Meade, MD • On-site, Remote

$87K - $197K/yr

Full-time

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

Job description

Summary
Data science is present in every aspect of NSA's mission to protect the nation. By joining our team, you will tackle challenging problems by leveraging big data, high-performance computing, machine learning and more. We are looking for senior-level data scientists who believe that answers to hard questions lie in the yet-to-be-told story of diverse, complicated data sets. You will develop solutions for complex data problems, taking full advantage of NSA's capabilities to tackle the priority.
Learn more about this agency
Duties
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Data science at NSA uses elements of mathematics, statistics, computer science and application-specific knowledge to gather, make, and communicate principled conclusions from data. It encompasses AI engineering, data engineering, ML Ops engineering, and human perception and cognition engineering, in addition to traditional applications of data science.
Responsibilities may include:
- Exploring data analysis and model-fitting to reveal data features of interest
- Using machine-learned predictive modeling
- Constructing usable data sets from multiple sources to meet customer needs
- Identifying and analyzing anomalous data (including metadata)
- Developing conceptual design and models to address mission requirements
- Developing qualitative and quantitative methods for characterizing datasets in various states
- Performing analytic modeling, scripting and/or programming
- Working collaboratively and iteratively throughout the data-science lifecycle
- Designing and developing analytics and techniques for analysis
- Analyzing data using mathematical and statistical methods
- Evaluating, documenting and communicating research processes, analyses and results to customers, peers and leadership
- Creating interpretable visualizations
Requirements
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Conditions of employment
  • All applicants and employees are subject to random drug testing in accordance with Executive Order 12564.

Qualifications
The qualifications listed are the minimum acceptable to be considered for the position.
ENTRY
Entry is with an Associate's degree plus 2 years of relevant experience, or a Bachelor's degree and no experience, or a Master's degree and no experience. Relevant experience must be in one or more of the following: designing/implementing machine learning, data mining, statistical analysis, statistical consulting, artificial intelligence development, computational science, software engineering, technical writing, data visualization, or data engineering.
FULL PERFORMANCE
Entry is with an Associate's degree plus 5 years of relevant experience, or a Bachelor's degree plus 3 years of relevant experience, or a Master's degree plus 1 year of relevant experience, or a Doctoral degree and no experience. Experience must include both programming and one or more of the following: designing/implementing machine learning, data mining, statistical analysis, statistical consulting, artificial intelligence development, computational science, technical writing, data visualization, or data engineering.
SENIOR
Entry is with an Associate's degree plus 8 years of relevant experience, or a Bachelor's degree plus 6 years of relevant experience, or a Master's degree plus 4 years of relevant experience, or a Doctoral degree plus 2 years of relevant experience. Experience must include both programming and one or more of the following: designing/implementing machine learning, data mining, statistical analysis, statistical consulting, artificial intelligence development, computational science, technical writing, data visualization, or data engineering. Experience must also include formal or informal leadership.
EXPERT
Entry is with an Associate's degree plus 11 years of relevant experience, or a Bachelor's degree plus 9 years of relevant experience, or a Master's degree plus 7 years of relevant experience, or a Doctoral degree plus 5 years of relevant experience. Experience must include both programming and one or more of the following: designing/implementing machine learning, data mining, statistical analysis, statistical consulting, artificial intelligence development, computational science, technical writing, data visualization, or data engineering. Experience must also include formal or informal leadership.
Applicants will be asked to complete the Data Science Examination (DSE) which evaluates their knowledge of statistics, mathematics, and computer science topics that pertain to data science work. Passing this examination at a local testing site is a requirement in order to be considered for selection into a data scientist position. Upon passing the examination, applicants will be evaluated for the minimum qualifications outlined in this ad. Transcripts for each academic institution are required prior to being invited to interview with Agency data science professionals and should be submitted as part of the online application. Unofficial transcripts are fine at this stage.
Education
Note that different degree fields have different requirements as described below.
Degrees in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Data Science, Operations Research, Quantitative/Computational Finance, Econometrics/Quantitative Economics, Computer Science, or Computer Engineering qualify without additional coursework requirements.
Degrees in Engineering, Physical Sciences, Mathematical Biology/Bioinformatics, Life Sciences, Environmental Science, Data Analytics, or Information Science/Systems/Technology, must include either a Data Science certificate from an accredited college/university OR 5 or more courses in advanced mathematics (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics) and/or advanced computer science (for example, algorithms, programming, data structures, data mining, artificial intelligence).
Other degrees must be accompanied by a Data Science certificate from an accredited college/university, and must include 5 or more courses in advanced mathematics AND advanced computer science. At least one course must be from advanced mathematics (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics). At least one course must be from advanced computer science (for example, algorithms, programming, data structures, computer architecture, data mining, artificial intelligence).
Additional information
Pay: Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.
Salary Range: $87,362 - $197,200 (Entry/Developmental, Full Performance, Senior, Expert)
Salary range varies by location, work level, and relevant experience to the position.
Training will be provided based on the selectee's needs and experience.
Benefits: NSA offers a comprehensive benefits package.
Work Schedule: This is a full-time position, Monday - Friday, with basic 8hr/day work requirement between 6:00 a.m. and 6:00 p.m. (flexible).
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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
Help
A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.

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