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Remote Senior Data Engineer Jobs in Philadelphia, PA

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 ...

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 ...

Sr Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

Comfortable operating as a hands-on senior individual contributor who can also influence strategy and engineering standards. Preferred Experience * Experience with Reltio MDM, including inbound data ...

Senior Data Engineer

Cedar Brook, NJ · On-site +1

$104K - $142K/yr

You'llsupport portfolio teams by enabling governance-aligned data engineering practices, ensuring data is produced in a consistent, secure, and scalable way without owning team data products or ...

IQVIA is growing! Hiring multiple Senior Data Team Leads across our FSP (Functional Service ... This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ...

IQVIA is growing! Hiring multiple Senior Data Team Leads across our FSP (Functional Service ... This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ...

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Remote Senior Data Engineer information

See Philadelphia, PA salary details

$81.7K

$127.5K

$176.6K

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

As of Sep 7, 2026, the average yearly pay for remote senior data engineer in Philadelphia, PA is $127,476.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $145,300.00 per year, depending on experience, location, and employer.

What is a remote senior data engineer?

Remote Senior Data Engineers are experienced professionals who design, build, and maintain complex data systems and pipelines, but work from a location outside of the company's main office. They are responsible for ensuring reliable data flow, optimizing data storage, and supporting analytics, often collaborating with teams across different time zones. Their role typically involves advanced programming, data architecture, and the implementation of best practices in data engineering, all while working remotely. This position demands strong technical skills, excellent communication, and the ability to work independently.

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

To thrive as a Remote Senior Data Engineer, you need advanced expertise in data engineering concepts, SQL, and programming languages like Python or Scala, along with a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Spark or Hadoop), and relevant certifications are typically required. Excellent problem-solving, communication, and self-management skills are crucial for collaborating remotely and driving projects independently. These competencies ensure robust data pipelines, effective teamwork, and successful delivery of scalable data solutions in distributed environments.

How does a remote senior data engineer typically collaborate with distributed teams to ensure data pipeline reliability?

As a Remote Senior Data Engineer, collaboration with cross-functional, distributed teams is usually facilitated through agile project management tools, regular video meetings, and shared documentation platforms. You’ll often work closely with data scientists, analysts, and DevOps engineers to design, build, and maintain scalable data pipelines. Clear communication and proactive status updates are essential to ensure everyone stays aligned and issues are addressed quickly. Leveraging version control systems and automated testing also helps maintain the reliability and quality of the data infrastructure across different time zones.

What is the difference between Remote Senior Data Engineer vs Data Scientist?

AspectRemote Senior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields, certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, visualization tools
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, research, finance

Remote Senior Data Engineers focus on building and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles often collaborate but serve different functions within data teams. Understanding these differences helps in choosing the right career path or job search focus.

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

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

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

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

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

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

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

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

Infographic showing various Remote Senior Data Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,476 per year, or $61.3 per hour.

SENIOR DATA ENGINEER

3B Staffing LLC

Malvern, PA • Remote

$104K - $141K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

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 conversation

the candidate will be required to work in EST starting around 10AM EST till 6 PM EST

Experis is looking for a talented and motivated individual to serve as a Sr. Data Engineer within our client's Data Engineering and Integration team. The individual will contribute to the overall objectives of the team and will be a key technical resource that helps to monitor the daily operations of various data pipelines and ETL jobs. The candidate will have to have a solid background in key database technologies with a focus on data management, data integration, and data transformation experience. The ideal candidate will be a highly self-motivated IT professional that enjoys working closely with commercial business leaders. This person will be inspired by technology and its use in an ever-changing, fast-paced environment.

Key Responsibilities:

  • Monitor daily operations of ETL pipelines for data ingestion and transformation
  • Troubleshoot failures and/or errors in various data pipelines in a timely fashion
  • Investigate root causes for pipeline issues and address those issues where applicable
  • Escalate any issues that's not immediately resolvable, providing initial analysis
  • Be the liaison between team and the Business, communicate any blocking issues to the Business and provide ETA and/or timely updates on resolutions

Other Responsibilities:

  • Gain deep understanding of team's data platforms / architectures and follow guidelines
  • Perform data profiling to understand data domains, data dependencies and lineage
  • Effectively collaborate with external Business teams, including but not limited to sales, marketing, and finance
  • Participate in daily stand-up, sprint review and sprint planning sessions

Required Qualifications:

  • 5+ year of experience with workflow orchestration tools (Airflow)
  • 5+ years of experience working with RDBMS (MSSQL, Postgres, etc.)
  • Hands-on experience working with APIs and able to troubleshoot related issues
  • Strong knowledge of SQL and the ability to write, test, and optimize SQL queries
  • Familiarity with various BI solutions (Power BI, Qlik, etc.)
  • BS/MS degree in Computer Science, Engineering, Applied Math, or related field

Desired Qualifications:

  • 3+ year of experience with CI/CD pipelines (Azure DevOps)
  • 3+ year of experience with Cloud Data Warehouse solutions (Snowflake)
  • 3+ years of experience architecting and building enterprise-scale data warehouses
  • 1+ year of experience with Azure Platform (Azure Data Factory, Azure Blob Storage)
  • 1+ year of experience with data modeling and data warehousing concepts (Data Vault)