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Part Time Data Engineering Jobs in Pennsylvania (NOW HIRING)

$57/hr

AND POSITION REQUIREMENTS The Department of Computer Science and Engineering within the College of ... Python 3.x; modern NLP/ML (PyTorch or TensorFlow, Hugging Face, scikit-learn); data/ETL tooling ...

... and Engineering is seeking part-time Programmer Analysts to support an NIH National Center for Advancing Translational Science-funded project called: "The Biomedical Data Translator." These ...

We are seeking a motivated candidate to fill the role of a Part-Time Engineering Technologist to ... Analyze data and report results * Research new sample preparation and characterization methods

$15 - $19/hr

... part-time positions in each of its programs which include: * Engineering Design Programs ... data analysis, or other research support tasks. Teaching assistant duties may include grading ...

... Engineering at the Pennsylvania State University is accepting applications for part-time research ... Data collection * Compilation and entry * Other research related tasks These are short-term ...

... Engineering at the Pennsylvania State University is accepting applications for part-time research ... Data collection * Compilation and entry * Other research related tasks These positions are short in ...

$15 - $19/hr

... Engineering seeks to hire numerous Penn State students and non-students to fill part-time positions ... Inventory management and data entry * Salvage and recycle obsolete laboratory materials * Prepare ...

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Part Time Data Engineering information

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.

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 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.

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.

What are the most commonly searched types of Data Engineering jobs in Pennsylvania? The most popular types of Data Engineering jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Part Time Data Engineering jobs? Cities in Pennsylvania with the most Part Time Data Engineering job openings:
Part-Time Assistant Programmer

$57/hr

Part-time

Posted 12 days ago


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS

The Department of Computer Science and Engineering within the College of Engineering is seeking applicants for a part-time programmer.

The role: Help us build a focused, sharp system that turns peer-reviewed nutrition literature into transparent, evidence-based recommendations. You'll implement the Extract, Transform Load (ETL) pipeline from OpenAlex, fine-tune and wire up transformer models for relation extraction, and ship a production-grade recommendation/generative layer backed by a provenance-rich knowledge graph.

What you'll do:

  • Stand up and own a PubMed or OpenAlex ETL that ingests open-access articles, normalizes metadata, and keeps our corpus fresh.
  • Use and/or fine tune transformer models (e.g., BERT variants) to extract semantic triples (like: (ingredient)-[biolink:ameliorates_condition]->(health condition)); build evaluation and error-analysis loops.
  • Implement a ranking layer that blends evidence strength (study design, sample size, effect size) with model confidence.
  • Build the recommendation/generative service that balances constraints (evidence score, compatibility, regulatory limits) and exposes a clean API.
  • Construct/maintain a knowledge graph that links every recommendation back to source papers (full provenance) and supports plain-language evidence summaries.
  • Collaborate tightly with PI and domain scientists; deliver milestones on a fast, 12-month pilot timeline.

Core stack we use (and you're comfortable with):

  • Python 3.x; modern NLP/ML (PyTorch or TensorFlow, Hugging Face, scikit-learn); data/ETL tooling (pandas, spaCy, Pydantic, Airflow/Prefect).
  • APIs/services: RESTful design, auth, pagination, retries, structured logging, unit/integration tests, CI.
  • Storage/search: Postgres + vector/embedding store; graph DB experience welcome.
  • DevOps basics: containers, reproducible envs, simple local deploys, secrets management.

Nice to have:

  • Deep NLP experience (relation extraction, weak supervision, prompt/adapter tuning).
  • Semantic KGs (RDF/OWL, Neo4j/graph tooling), ontology work, and/or the Biolink Model.
  • Experience with biomedical text corpora and literature mining.
  • You've shipped scrappy, reliable research-to-prod systems before.

What you bring:

  • 3+ years professional Python and ML/NLP engineering, or equivalent portfolio.
  • Strong engineering hygiene (tests, docs, code review) and product sense.
  • Clear, direct communication in a remote team.
  • Bonus: prior work at the intersection of ML + biosciences/clinical data.

Logistics & pay:

  • Fully remote (U.S.); office space available at Penn State for hybrid/in-person if preferred.
  • Part-time at $57/hour, 20 hours/week, 50 weeks. Continuation beyond 50 weeks depends on renewal/next-round funding.
  • Please submit a brief cover letter and resume/CV.
  • For more information on restrictions for part-time remote employment locations: Notice to Out of State Applicants

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

The Pennsylvania State University is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.

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About Pennsylvania State University

Sourced by ZipRecruiter

Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

Industry

Education

Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

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