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Remote Data Platform Engineer Jobs in Philadelphia, PA

Apply now: Cloud Platform DevOps Engineer, Remote/Hybrid. Start date is ASAP for this contract position. Job Title: Cloud Platform DevOps Engineer Location-Type: East Coast Remote/Hybrid to ...

Data Engineer - Databricks, AWS, Python

Philadelphia, PA ยท Remote

$109K - $131K/yr

Data Engineer - Databricks, AWS, Python 100% Remote / MUST interview on-site: Phila., PA 19103 $125 ... Experience working with AWS cloud services and Snowflake data platforms. * Proficiency with ...

... Engineering, Architecture, Data Platform, and Technology teams. * Locations: Hybrid work arrangement in Bloomfield, CT, Philadelphia, PA, Morris Plains, NJ, St Louis, MO. Open to remote if not ...

Web Engineer

Philadelphia, PA ยท Remote

$170K - $220K/yr

We pioneered the Composable Customer Data Platform (CDP), which lets companies use their own data ... Remote position * Various benefits * Will get to have continued ownership around this project and ...

Senior Data Engineer

Cedar Brook, NJ ยท On-site +1

$104K - $142K/yr

Develop andmaintainpipelines (e.g. platform services, system tables, reference implementations) and provide guidance on ETL/ELT best practices for portfolio teams. * Apply data governance ...

Data Engineer

West Chester, PA ยท Remote

$108K - $130K/yr

Your Opportunity, Your Team The Data Engineer supports QVC and will collaborate with an Agile team ... Where You'll Work This role is remote; job seekers must reside in one of the following states to be ...

Showing results 21-40

Remote Data Platform Engineer information

See Philadelphia, PA salary details

$44.9K

$130.9K

$179.1K

How much do remote data platform engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data platform engineer 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.

What is a remote data platform engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.

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

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a remote data platform engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

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

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

What are the most commonly searched types of Data Platform Engineer jobs in Philadelphia, PA?

The most popular types of Data Platform Engineer jobs in Philadelphia, PA are:

What are popular job titles related to Remote Data Platform Engineer jobs in Philadelphia, PA?

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

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

The top searched job categories for Remote Data Platform Engineer jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Remote Data Platform Engineer jobs?

Cities near Philadelphia, PA with the most Remote Data Platform Engineer job openings:

Infographic showing various Remote Data Platform Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 100% Full 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 โ€ข On-site, Remote

$108K - $162K/yr

Full-time

Posted 12 days ago


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.