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Remote Data Engineering Jobs in Philadelphia, PA

Arbor

Data Engineer

Philadelphia, PA · Remote

$117K - $140K/yr

As AI data centers drive a surge in electricity demand, millions of homes and businesses remain ... You'll partner closely with engineering, operations, and leadership to deliver analytics that ...

Comcast

Senior Full Stack Data Engineer

West Chester, PA · On-site +1

... remote option.) Job Summary Seeking a highly skilled Full Stack Developer with a strong data ... Bachelor's degree in Computer Science, Engineering, Data Science, or related field (or equivalent ...

Comcast

Senior Full Stack Data Engineer

West Chester, PA · On-site +1

... remote option.) Job Summary Seeking a highly skilled Full Stack Developer with a strong data ... Bachelor's degree in Computer Science, Engineering, Data Science, or related field (or equivalent ...

IntegriChain

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 ...

SITA Switzerland Sarl

Data Engineer

Cedar Brook, NJ · On-site +1

$113K - $136K/yr

Reporting to the Head of Engineering - Disruption Management Solutions (OCCam), you will be part of the OCCam team. We are hiring two Data Engineers to grow the team. KEY RESPONSIBILITIES * Ingest ...

IntegriChain

AI Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

Snowflake and dbt engineering: Design, build, optimize, and operate Snowflake pipelines and dbt ... Data dictionary-driven delivery: Translate team-defined data dictionaries, business definitions ...

Xactus

AI Engineer

Broomall, PA · On-site +1

Communicate with data engineering on pipeline needs. Work with product to translate requirements ... The position may be remote from main offices. * May require flexibility in hours. PHYSICAL DEMANDS:

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 ...

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Showing results 21-40

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 Architect- Payer (Healthcare) || Fulltime || Remote

Smart IT Frame

Philadelphia, PA • Remote

$65.25 - $84/hr

Full-time

Re-posted 20 days ago

Job description

 
Role: - Data Architect- Payer (Healthcare)
 
Location: - Philadelphia PA/ Remote 
 
Fulltime 
 

Job Description: -

·       Overall 14+ years of Azure & Data Engineering experience

·       Design and develop cloud-native applications and services using modern architecture patterns.

·       Collaborate with product managers, developers, and other stakeholders to define application requirements and specifications.

·       Strong hands-on experience in Database design, ETL with primary skills on Azure Databricks - Build data Pipelines using ADB - leveraging Python and PySpark, ADF: Azure Data Factory, Azure Data Lake Gen 2, Synapse Analytics.

·       Good experience and knowledge in scripting languages such as Python, PySpark, Spark SQL or Shell Scripting, etc.

·       In-depth understanding of various storage services offered by Azure and TIDAL Scheduler.

·       Experience with implementation of data security, encryption, PII/PSI legislation, identity and access management across sources and environments.

·       Experience with data process Orchestration, end-to-end design and build process of Near-Real Time and Batch Data Pipelines.

·       Minimum 3 years of real project experience.

·       Manage/Mentor tech team members.

·       Evaluate and recommend cloud technologies and tools to enhance application performance and reliability.

·       Lead the migration of existing applications to cloud environments, ensuring minimal disruption and optimal performance.

·       Implement best practices for cloud security, compliance, and governance.

·       Monitor and optimize application performance, scalability, and cost-efficiency in cloud environments.

·       Provide technical leadership and mentorship to development teams, fostering a culture of innovation and continuous improvement.

·       Stay current with emerging cloud technologies and trends, and assess their potential impact on our architecture and applications.

·       Provide Technical Assistance, Problem Resolution and Troubleshooting Support.

·       Document architectural designs, standards, and guidelines for cloud application development.

·       Good understanding of the functional domain especially Healthcare domain and Tidal Scheduler.

·       Good understanding of the SDLC and Agile methodologies.

·       Good communication and soft skills.

Qualifications:

·       Bachelor’s degree in computer science, Information Technology, or a related field; Master’s degree preferred.

·       Proven experience as a Cloud Application Architect or in a similar role, with a strong portfolio of successful cloud projects.

·       In-depth knowledge of cloud platforms (AWS, Azure, Google Cloud) and their services.

·       Proficiency in programming languages such as Java, Python, or C# and experience with microservices architecture.

·       Familiarity with containerization technologies (Docker, Kubernetes) and serverless computing.

·       Strong understanding of cloud security best practices and compliance requirements.

·       Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.

·       Strong communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

·       Relevant cloud certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert).

·       Experience with DevOps practices and CI/CD pipelines.

·       Knowledge of database technologies (SQL, NoSQL) and data architecture principles.