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Remote Data Engineer Jobs in Wayne, PA (NOW HIRING)

Soni Resources

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Data Scientist (Data Science + Data Engineering) Location: Remote (Preference for Northeast/Mid-Atlantic; monthly travel to Plymouth Meeting, PA as needed) Our client is building a data-driven ...

Xactus

AI Engineer

Broomall, PA · On-site +1

... data engineers, and product teams. WORKING CONDITIONS: * Traditional office environment with low-to-moderate office noise (computers, phones and business conversations). The position may be remote ...

ICS Corporation

Direct Mail Programmer

West Deptford, NJ · On-site +1

$70K - $100K/hr

This position is ideal for a candidate with strong experience in both data processing and mail ... However, we are open to a hybrid in-office/remote arrangement for the right candidate, and we may ...

Posted today

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Wayne, PA

Remote Data Engineer information

See Wayne, PA salary details

$40.3K

$117.5K

$160.8K

How much do remote data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data engineer in Wayne, PA is $117,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $124,600.00 per year, depending on experience, location, and employer.

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 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.

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 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 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.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Wayne, PA? The most popular types of Data Engineer jobs in Wayne, PA are:
What are popular job titles related to Remote Data Engineer jobs in Wayne, PA? For Remote Data Engineer jobs in Wayne, PA, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Wayne, PA look for? The top searched job categories for Remote Data Engineer jobs in Wayne, PA are:
What cities near Wayne, PA are hiring for Remote Data Engineer jobs? Cities near Wayne, PA with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Wayne, PA as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 15% Part Time, 1% Temporary, and 8% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $117,545 per year, or $56.5 per hour.

Principal, Data Engineering (Remote)

Jazz Pharmaceutical

Philadelphia, PA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 hours ago

Job description

If you are a current Jazz employee please apply via the Internal Career site

Jazz Pharmaceuticalsis 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 inDublin, Irelandwith research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visitwww.jazzpharmaceuticals.comfor 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

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