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Part Time Data Engineering Jobs in Frederick, MD

HR/Safety Intern

Hagerstown, MD · On-site

$23 - $24/hr

Competitive pay starting Rate: $23.00 -$24.00 per hour * Part-time during school year * Be part of ... Collect and analyze data from the floor to be brought back and communicated and/or documented.

HR/Safety Intern

Hagerstown, MD · On-site

$23 - $24/hr

Competitive pay starting Rate: $23.00 -$24.00 per hour * Part-time during school year * Be part of ... Collect and analyze data from the floor to be brought back and communicated and/or documented.

Graphic Designer III - Part Time

Rockville, MD · On-site +1

$42/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position can work on a variety of projects, including forms, data collection, online surveys ... Engineering, Mission Optimization, Technology and Transportation) for the federal government and ...

Showing results 21-40

Part Time Data Engineering information

See Frederick, MD salary details

$44.2K

$129K

$176.5K

How much do part time data engineering jobs pay per year?

As of Aug 18, 2026, the average yearly pay for part time data engineering in Frederick, MD is $128,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $136,700.00 per year, depending on experience, location, and employer.

What is a part time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

How does a part time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What are the key skills and qualifications needed to thrive as a part time data engineer, and why are they important?

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data pipeline development, maintenance, and analytics projects. Skills in SQL, Python, cloud platforms, and data tools remain valuable, and remote or flexible roles are increasingly available in the industry.

Can I work remotely as a part time data engineer?

Part time data engineering roles can often be performed remotely, especially when the work involves tasks like data pipeline development, database management, and cloud-based tools. Employers may require familiarity with tools such as SQL, Python, and cloud platforms, and remote work arrangements depend on the company's policies and project needs.

What are the most commonly searched types of Data Engineering jobs in Frederick, MD?

The most popular types of Data Engineering jobs in Frederick, MD are:

What are popular job titles related to Part Time Data Engineering jobs in Frederick, MD?

For Part Time Data Engineering jobs in Frederick, MD, the most frequently searched job titles are:

What job categories do people searching Part Time Data Engineering jobs in Frederick, MD look for?

The top searched job categories for Part Time Data Engineering jobs in Frederick, MD are:

What cities near Frederick, MD are hiring for Part Time Data Engineering jobs?

Cities near Frederick, MD with the most Part Time Data Engineering job openings:

Infographic showing various Part Time Data Engineering job openings in Frederick, MD as of August 2026, with employment types broken down into 100% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $128,973 per year, or $62 per hour.

NIST PREP Research Associate in Human-Centered AI Research and Evaluation

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$40K/yr

Part-time

Posted 12 days ago


Job description

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title: Human-Centered AI Research and Evaluation (part-time position, 1/1/27-12/31/27).
The work will entail: The National Institute of Standards and Technology (NIST) is developing human-centered approaches to AI evaluation through research on perceptions and use of AI systems. Human-centered evaluations of AI systems depend on a variety of methods for capturing and measuring interactions between humans and AI systems. The candidate will assist in designing and executing human-AI interaction research. The candidate will actively participate in NIST measurement science and be involved in developing human-centered evaluations of AI technologies. The candidate will work alongside world-class researchers at NIST.
U.S. Citizen is Preferred.
Key responsibilities will include but are not limited to:
  • Design/conduct human-subject studies (experimental design, surveys, and/or interviews).
  • Conduct data analysis of human-subject experiments, surveys and/or interview data using inferential statistical methods and qualitative thematic and grounded theory analysis
  • Perform literature surveys relevant to HCAI, human-AI interaction, and AI evaluation
  • Develop infrastructure and approaches for human-centered AI evaluation
  • Write/prepare reports, research papers, and presentations of project information at internal and external meetings

Qualifications
The individual must have the following minimum knowledge, skills, and abilities.
  • Background in any of the following or comparable fields: Computer Science, Human-Computer Interaction (HCI), Industrial/Organizational (I/O) Psychology, Cognitive Psychology, Human Factors/Engineering Psychology, Psychometrics, Economics.
  • Education level: graduate student or higher.
  • Strong background in quantitative and/or qualitative research methodology.
  • Experience with human subjects research on AI use and adoption.
  • Programming skills and experience creating tools for human-centered AI evaluation.
  • Knowledge/interest in human-computer interaction and human-AI interaction.
  • Knowledge/interest in machine learning and AI test and evaluation.
  • Ability to work both in teams and independently.
  • Strong oral and written communication skills.

Number of Positions and Hours/Week
  • 1 position, part-time at 20 hours/week
  • The details of the work arrangement are negotiable, but the position is envisioned to be telework, with the possibility of occasional in-person meetings on the NIST Gaithersburg campus.

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0005000