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Remote Data Engineering Jobs in Philadelphia, PA

QVC

Data Engineer

West Chester, PA · Remote

$108K - $130K/yr

Where You'll Work This role is remote; job seekers must reside in one of the following states to be ... Develop and deliver plans on analytic data engineering capabilities and standards. * Partner with ...

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 ...

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All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Philadelphia, PA

Remote Data Engineering information

See Philadelphia, PA salary details

$44.9K

$130.9K

$179.1K

How much do remote data engineering jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data engineering in Philadelphia, PA is $130,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $138,700.00 per year, depending on experience, location, and employer.

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.

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.

Can you work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require strong skills in SQL, cloud platforms, and data pipeline tools, and may involve collaboration through online communication tools.

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 Philadelphia, PA? The most popular types of Data Engineering jobs in Philadelphia, PA are:
What are popular job titles related to Remote Data Engineering jobs in Philadelphia, PA? For Remote Data Engineering jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Philadelphia, PA look for? The top searched job categories for Remote Data Engineering jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Remote Data Engineering jobs? Cities near Philadelphia, PA with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Philadelphia, PA as of August 2026, with employment types broken down into 64% Full Time, and 36% Part Time. Highlights an 100% Remote job distribution, with an average salary of $130,895 per year, or $62.9 per hour.

Data Engineer, Enterprise Data Engineering

Comcast

Philadelphia, PA • On-site, Remote

$108K - $162K/yr

Full-time

Posted yesterday

New

Job description

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You'll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

This is a new Engineer 3 position that will be responsible for developing, implementing, and maintaining data pipelines and ETL processes critical to support Comcast's national locates program. Ensure accurate and timely ingestion of locates-related data from multiple sources. Works closely with operations & analytics teams to structure data effectively for actionable reporting and analysis. The ideal candidate must have a passion for data and a willingness to adapt to various system/operational challenges to work with disparate data sources both internally & externally.

Job Description

As part of the National Locates/Damage Prevention team, this Data Engineer is based in our Denver (Englewood), CO office, but may also sit out of our Philadelphia office. It is not approved for remote or virtual employment. We are unable to provide sponsorship for this role now or in the future.

Core Responsibilities:

  • Develop, implement and maintain robust ETL processes for ingestion, transformation and loading of locates data.
  • Design scalable solutions for large data volumes, optimizing for performance & cost.
  • Engage external teams in the creation of data pipelines from various sources, including 811 one call centers, locates vendors and ticket management systems.
  • Collaborate closely with analysts and operational stakeholders to ensure data accuracy, quality and consistency.
  • Monitor, troubleshoot and optimize data pipelines to maintain efficient and reliable data flow.
  • Document data structures and processes clearly to facilitate cross-team understanding and usage.
  • Identify and implement improvements to enhance data quality and processing efficiency.
  • Ensure compliance with data governance standards, cybersecurity and best practices.
  • Provide clear communication of complex technical concepts to non-technical stakeholders


Qualifications:

  • Bachelor's degree in Engineering, Computer Science, Data Science, or related technical field.
  • 5+ years of experience in data engineering, including developing and maintaining data pipelines and ETL processes.
  • Proficiency in SQL, Python, and cloud-based data platforms (DataBricks, AWS, Azure, GCP).
  • Experience with DevOps practices, version control (Git), and collaborative tools (Jira, Confluence).
  • Familiarity with Bash, Linux preferred and GIS data, ticket management systems, and locates/811 operations a plus.

Employees at all levels are expected to:

  • Understand our Operating Principles; make them the guidelines for how you do your job.
  • Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
  • Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
  • Win as a team - make big things happen by working together and being open to new ideas.
  • Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
  • Drive results and growth.
  • Respect and promote inclusion & diversity.
  • Do what's right for each other, our customers, investors and our communities.


Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Skills

Amazon Web Services (AWS), Big Data, Data Architecture Development, Databricks Platform, Data Engineering, Python (Programming Language)

Compensation

Colorado Pay Range: $108,578.72 - $162,868.08Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Education

Bachelor's DegreeWhile possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Certifications (if applicable)

Relevant Work Experience

5-7 YearsComcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

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