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Remote Data Engineer Jobs in State College, PA (NOW HIRING)

Penn State University

GIS Specialist

University Park, PA · On-site +1

$54K - $78K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional ... programming, and data analytical tools including the ESRI suite, Python, and R analytics. Preferred ...

AVTC Group

Sr Software Engineer

State College, PA · On-site +1

$119K - $157K/yr

Rate: 90-115/hr DOE and compensation type On-Site in State College PA In the Senior ML/Data Science Software Engineering role, you will design, develop, and test AI/ML, Java and Python code in a ...

Endeavor Professional Services

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CAD Draftsman/Engineering Technician

State College, PA · Remote

... survey data, and capability to prepare plan sets utilizing Sheet Set Manager. Experience with ... Remote Pilot Certificate (Part 107) are preferred, but not required. Candidates should have a ...

Penn State University

Grading Assistant

University Park, PA · On-site +1

$15 - $18.75/hr

Course topics may include geographic information systems (GIS), spatial data science, remote sensing, and geospatial programming. Responsibilities include evaluating student work in the learning ...

Penn State University

Accountant

University Park, PA · On-site +1

$68K - $102K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional ... Conduct advanced analysis of historical and operational data to develop recommendations that ...

Varsity Tutors

Python Tutor

State College, PA · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in State College, PA

Remote Data Engineer information

See State College, PA salary details

$43.5K

$126.9K

$173.6K

How much do remote data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote data engineer in State College, PA is $126,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $134,500.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in State College, PA?

The most popular types of Data Engineer jobs in State College, PA are:

What are popular job titles related to Remote Data Engineer jobs in State College, PA?

For Remote Data Engineer jobs in State College, PA, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in State College, PA look for?

The top searched job categories for Remote Data Engineer jobs in State College, PA are:

What cities near State College, PA are hiring for Remote Data Engineer jobs?

Cities near State College, PA with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in State College, PA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $126,862 per year, or $61 per hour.

Part-Time Assistant Programmer

Penn State University

University Park, PA • On-site, Remote

$57/hr

Part-time

Re-posted 7 days ago

Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

230th of 620 rated colleges and universities

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, see Notice 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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