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Remote Data Engineering Jobs in Pennsylvania (NOW HIRING)

$130K - $144K/yr

Remote, United States Reports To: Engineering Manager What We're Looking For: Requirements: * Experience : 5+ years of experience in data engineering or related roles * Project Management

SENIOR DATA ENGINEER

Malvern, PA · Remote

$104K - $141K/yr

ROLE SENIOR DATA ENGINEER INDUSTRY Pharma, Development & Manufacturing DURATION CONTRACT, probable extension LOCATION REMOTE (off-shore or near-shore), Malvern, PA 19355 INTERVIEW MS TEAMS ...

New

SENIOR DATA ENGINEER

Malvern, PA · Remote

$104K - $141K/yr

ROLE SENIOR DATA ENGINEER INDUSTRY Pharma, Development & Manufacturing DURATION CONTRACT, probable extension LOCATION REMOTE (off-shore or near-shore), Malvern, PA 19355 INTERVIEW MS TEAMS ...

New

Senior BI Engineer, Data

Lititz, PA · On-site +1

$98K - $133K/yr

Data Engineering & Architecture * Lead the design, development, and implementation of a ... Remote Work Qualifications * Access to a reliable and secure high-speed internet connection. Cable ...

Cloud Data Architect

Pittsburgh, PA · On-site +1

$62 - $79.50/hr

... cloud data engineering, with demonstrated ownership of architecture decisions. * Hands-on ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Engineer

Mechanicsburg, PA · Remote

$125K - $150K/yr

REMOTE: Possibility of up to 10% Travel required - Client meetings in Mechanicsburg, PA, and/or Yorktown, VA Salary Range: $125,000 - $150,000 Primary Responsibilities: The Data Engineer will be ...

Sr Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

Hands-on Snowflake engineering: Design, build, optimize, and operate Snowflake data models, pipelines, stored procedures, and high-volume data processing patterns. * MDM/Reltio enablement: Partner ...

Senior Data Engineer

Pittsburgh, PA · On-site +1

$102K - $139K/yr

Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent work ... Possibly fully remote work environment with flexible hours * Health benefits, learning stipends ...

Showing results 21-40

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 Sep 4, 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 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.

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

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 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 job categories do people searching Remote Data Engineering jobs in Pennsylvania look for?

The top searched job categories for Remote Data Engineering jobs in Pennsylvania 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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $130,028 per year, or $62.5 per hour.

$130K - $144K/yr

Full-time

Re-posted 21 days ago


PAR Technology rating

7.4

Company rating: 7.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

169th of 247 rated software companies


Job description

For over four decades, PAR Technology Corporation (NYSE: PAR) has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. Our innovative solutions and commitment to excellence provide comprehensive software and hardware that enable seamless experiences and drive growth for over 100,000 restaurants in more than 110 countries. Embracing our "Better Together" ethos, we offer Unified Customer Experience solutions, combining point-of-sale, digital ordering, loyalty and back-office software solutions as well as industry-leading hardware and drive-thru offerings. To learn more, visit partech.com or connect with us on LinkedIn, X (formerly Twitter), Facebook, and Instagram.
Position Description:
We are seeking a Senior Data Engineer to join our team and help us build the next generation of data tools for our retail and commerce loyalty platform. The ideal candidate will have a passion for tackling complex challenges related to extracting insights from transactional data. In this role, you will work closely with our Application Development teams, Customer Support, Business SMEs, and stakeholders to design and implement data pipelines that transform our data into valuable insights. As we strive to scale and deploy new technologies that enhance the user experience and provide deeper insights, your expertise will be critical to our success.
Position Location:
Remote, United States
Reports To:
Engineering Manager
What We're Looking For:
Requirements:
  • Experience: 5+ years of experience in data engineering or related roles
  • Project Management: Experience leading projects and collaborating across teams
  • Problem-Solving Skills: Strong analytical and problem-solving abilities
  • Communication: Excellent communication skills for stakeholder engagement
  • Continuous Learning: Commitment to staying updated with industry technology trends
  • Agentic Engineering: Hands-on experience building with LLMs and coding agents to amplify day-to-day output, including the harnesses and internal tooling that let you and the rest of the team move faster.

Additional skills:
  • Programming: Python, SQL, Terraform
  • Data Modeling: Strong understanding of data modeling concepts and practices
  • Big Data Technologies: Spark, Databricks, Structured Streaming
  • Databases: Relational (Postgres) and NoSQL (DynamoDB) databases
  • CI/CD : CircleCI, DroneCI, Github Actions, Spacelift
  • Monitoring & Observability: DataDog
  • Cloud Platforms: AWS or Azure and their data solutions
  • Data Governance: Understanding data privacy, security, and governance practices
  • AI/ML Integration: Ability to integrate AI/ML models into data pipelines
  • LLM Tools: Experience with Claude Code, Cursor, Copilot, MCP, Agent Orchestrators
  • Version Control: Git, Github

Unleash your potential: What you will be doing and owning:
  • Developing robust, scalable data pipelines using cutting-edge technologies
  • Architecting and developing innovative data products that drive business insights
  • Utilizing advanced AI techniques to transform raw data into strategic intelligence

Interview Process:
  • Interview #1: Video Screen with Talent Acquisition Team
  • Interview #2: Video interview with the Hiring Manager (via MS Teams)
  • Interview #3: Video interview with the Team (via MS Teams)

PAR is proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. We also provide reasonable accommodations to individuals with disabilities in accordance with applicable laws. If you require reasonable accommodation to complete a job application, pre-employment testing, a job interview or to otherwise participate in the hiring process, or for your role at PAR, please contact accommodations@partech.com. If you'd like more information about your EEO rights as an applicant, please visit the US Department of Labor's website.

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