2

Part Time Data Engineering Jobs in Baltimore, MD

Data Scientist

Edgewood, MD · On-site +1

$77K - $176K/yr

... programming languages for data analysis * 2+ years of experience with developing, updating ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Showing results 21-40

Part Time Data Engineering information

See Baltimore, MD salary details

$44.2K

$128.9K

$176.4K

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

As of Sep 8, 2026, the average yearly pay for part time data engineering 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.

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 Baltimore, MD?

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

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

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

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

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

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

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

Infographic showing various Part Time Data Engineering job openings in Baltimore, MD as of August 2026, with employment types broken down into 100% Part Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $128,891 per year, or $62 per hour.

Research Assistant - Biomedical Engineering Lab (Part Time)

Bucknell

Arbutus, MD • On-site

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


Key responsibilities

  • Assist with the execution of research experiments and projects by performing routine technical procedures and following established protocols.

  • Maintain research spaces by procuring materials, monitoring lab inventory, and ensuring equipment and supplies are available and functional.

  • Keep detailed and accurate records of research activities, including data entry and preliminary results, while ensuring documentation complies with standards.


Job description

Position Title:

Research Assistant - Biomedical Engineering Lab (Part Time)

Position Type:

Part time

Scheduled Weekly Hours:

20

Categories:

Staff Non-exempt

Job Summary:

Bucknell University seeks a part time Research Assistant in the Biomedical Engineering Lab. The person in this role serves as an assistant in the process of research. They will work in the lab to analyze samples and perform experiments. They will assist with writing, development, and editing of protocols; maintain lab facilities and ongoing operation of the lab, and collaborates with Facilities personnel, fellow Lab Coordinators, faculty and students. They will coordinate with outside vendors for ordering and delivery of new instruments, equipment, supplies, chemicals, laboratory gases and/or minor equipment. They will assist with and advise students on their project or product design, emphasizing consideration
for current safety principles and standards involving regulations. Performs related tasks to ensure the smooth operation of the laboratories.
Reporting directly to the Biomedical Engineering Department Chair, this part time, 20 hours/week, 52 weeks/yr position is eligible for limited benefits. This position is donor funded for two years, and may be renewed pending the availability of additional funding and departmental need.

Job Duties:

Work Setting: On campus, in person
Work Schedule: 20 hours per week; 52 weeks/yr
Donor funded for two years, and may be renewed pending the availability of additional funding and departmental need.


What You Will Do - Essential Functions

  • Assists with the execution of research experiments and projects by performing routine technical procedures, preparing necessary materials, and following established protocols to ensure accurate data collection.

  • Maintains research spaces by procurement of materials and monitoring lab inventory

  • Maintains detailed and accurate records of all research activities, including data entry and preliminary results, while ensuring documentation complies with institutional and project-specific standards,

  • Performs maintenance and calibration of the instruments and equipment, troubleshooting problems as they arise. Coordinates with vendors and/or campus colleauges as needed, to arrange for service or repair.

  • Keeps laboratories stocked with necessary supplies including gloves, wipes, safety glasses, and other proper PPE such as lab coats and safety shields. Ensures needed equipment or instruments are available, working and in place for use, and that utensils, glassware, machines are available.

  • The job description's listed responsibilities and tasks are not exhaustive; additional non-essential tasks and responsibilities may be assigned as needed.

What You Will Bring

Minimum Qualifications

  • Bachelor's degree in Biology, Biomedical Engineering, Chemical Engineering, Chemistry, Engineering, Electrical Engineering, Geoscience or closely related field.

Preferred Qualifications

  • Master's degree

Job Exempt:

No

Salary Range:

17.16-21.45

The offer rate will be based on a review of the candidate's credentials compared to the qualifications of the position, internal equity, and our overall compensation philosophy.

This role is not budgeted for visa sponsorship, all candidates must be authorized to work in the US without a need for current or future visa sponsorship.

Benefits:

Eligible full- and part-time employees are compensated beyond base salary through our total rewards package that includes (but is not limited to):

  • Flexible scheduling options determined by role;
  • Medical, prescription drug, vision, dental, life, and long-term disability insurance options
  • An outstanding 10% employer contribution to your retirement plan (no contribution requirement for non-exempt positions)
  • Generous paid time off, including vacation and sick time, a community service day, and 19 paid holidays (including two full weeks off for Winter Break!)
  • Full-time and part-time members of the faculty and staff are eligible for tuition remission for themselves. Additionally, full-time members of the faculty and staff are eligible for tuition remission for their spouse/spousal equivalent and are eligible for various tuition programs for their children. Credit for full-time benefits eligible employment at other institutions of higher education will be applied to waiting periods.
  • A comprehensive employee wellness program including program incentives
  • A myriad of other benefits, including parental leave, an employee assistance program, fitness center membership, and the power of your Bucknell ID card

To learn more about Bucknell's benefits, clickhere! (*Eligibility criteria and waiting periods may apply.)

Inclusive Excellence:
Bucknell is committed to fostering an environment that embraces diversity, equity and inclusion, and seeks candidates who will contribute to a climate that supports the growth and development of a diverse campus community.We endeavor to enhance our capacity to value and capitalize on the cultural richness that diversity brings. We encourage all individualsto apply and donot discriminate inadmissions, employment, educational programs and/or activitieson the basis of race, color, national or ethnic origin, age, religion, disability, pregnancy, sex/gender, gender identity and/or expression, sexual orientation, marital or family status, military or veteran status, or genetic information.

E-Verify

Bucknell University participates with the United States Customs and Immigration Services (USCIS) E-Verify program. We will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

For additional information regarding Bucknell's E-Verify requirements, please contact the office of Talent, Culture & Human Resources (570) 577-1631 or emailhr@bucknell.edu.