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Remote Data Engineering Jobs in Pennsylvania (NOW HIRING)

Data Engineer

Malvern, PA · Remote

$112.40K - $134.90K/yr

Data Engineer Data Engineer Address: 301 Lindenwood Dr Ste 330, Malvern, Pennsylvania Remote: 3 days onsite Hours: 8-5 Position Type: FULL-TIME KEY RESPONSIBILITIES * Data Architecture & Pipeline ...

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · On-site +1

$111.20K - $133.50K/yr

Education and Experience: * 7+ years of experience in data engineering, data warehousing, or data ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Staff Data Engineer

Horsham, PA · Remote

$80 - $90/hr

Apply now: Sr. Staff Data Engineer, location is Remote. The start date is ASAP for this contract-to-hire position. Job Title: Sr. Staff Data Engineer Location-Type: 100% Remote Start Date Is: ASAP ...

For additional information on remote work at Penn State, seeNotice to Out of State Applicants. POSITION SPECIFICS We are seeking a Senior Data Engineer with deep expertise in database design ...

Data Engineer

Pittsburgh, PA · On-site +1

$107K - $128.50K/yr

Data Engineering Manager Purpose The Data Engineer creates, operates, and extends data pipelines ... Benefits Hybrid, remote and flexible on-site work schedules are available, based on the position.

Data Engineer

Pittsburgh, PA · On-site +1

$111.20K - $133.50K/yr

Experience with data pipelines and architecture/engineering. * Knowledge of modern apps and data ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Engineer

Pittsburgh, PA · On-site +1

$107K - $128.50K/yr

Data Engineering Manager Purpose The Data Engineer creates, operates, and extends data pipelines ... Benefits Hybrid, remote and flexible on-site work schedules are available, based on the position.

Data Engineer

Pittsburgh, PA · On-site +1

$111.20K - $133.50K/yr

Preference is for this to be a hybrid role in Pittsburgh, but we are open to fully remote ... data engineering with strong Python, SQL, and Spark skills * Hands-on experience building and ...

Data Engineer

Pittsburgh, PA · On-site +1

$107K - $128.50K/yr

Preference is for this to be a hybrid role in Pittsburgh, but we are open to fully remote ... data engineering with strong Python, SQL, and Spark skills * Hands-on experience building and ...

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Showing results 1-20

Remote Data Engineering information

See Pennsylvania salary details

$44.6K

$130K

$177.9K

How much do remote data engineering jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data engineering in Pennsylvania is $130,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,800.00 and $137,800.00 per year, depending on experience, location, and employer.

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 (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

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

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

How can I make $2000 a week working from home?

Remote data engineers can earn $2000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Achieving this income often requires advanced expertise, certifications, and experience with tools such as AWS or Azure, as well as the ability to handle multiple clients or projects simultaneously.

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

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

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 are popular job titles related to Remote Data Engineering jobs in Pennsylvania? For Remote Data Engineering jobs in Pennsylvania, the most frequently searched job titles are:
What cities in Pennsylvania are hiring for Remote Data Engineering jobs? Cities in Pennsylvania with the most Remote Data Engineering job openings:
Infographic showing various Remote Data Engineering job openings in Pennsylvania as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 83% Full Time, 10% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,028 per year, or $62.5 per hour.

Principal, Data Engineering (Remote)

Jazz Pharmaceutical

Philadelphia, PA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

If you are a current Jazz employee please apply via the Internal Career site
Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit www.jazzpharmaceuticals.com for more information.
Job Description
The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics.
Essential Functions
  • Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform.
  • Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools.
  • Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift.
  • Build and maintain standard data models.
  • Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines.
  • Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements.
  • Create and maintain documentation for data processes, architectures, and workflows.
  • Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI).
  • Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model.
  • Maintain compliance with data privacy regulations such as HIPAA, GDPR
  • May be required to develop, deliver or support data literacy training across R&D.

Required Knowledge, Skills and Abilities
  • Strong knowledge of data engineering tools such as Python, R and SQL for data processing.
  • Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda.
  • Strong proficiency with relational databases.
  • Strong background in data modeling and database design.
  • Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph).
  • Familiarity with Containerization such as Docker and EKS/Kubernetes.
  • Familiarity with one or more RnD research process and associated regulatory requirements.
  • Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM).
  • Exposure to big data technologies and handling.
  • Knowledge of machine learning operations (MLOps) and model deployment.
  • Strong problem-solving and analytical abilities.
  • Excellent communication skills for collaborating with stakeholders.
  • Experience working in an Agile development environment.

Required/Preferred Education
  • Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred
  • 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data

Description of Physical Demands
  • Occasional mobility within office environment
  • Routinely sitting for extended periods of time
  • Constantly operating a computer, printer, telephone and other similar office machinery

Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law.
The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: https://careers.jazzpharma.com/benefits