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Senior Data Engineering Jobs in Philadelphia, PA

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

The role involves developing ETL pipelines, implementing data cleansing processes, and collaborating with senior engineers to ensure data model alignment. Responsibilities : • Develop ETL pipelines ...

Senior Data Engineer

Philadelphia, PA

$107K - $145K/yr

Manager, Data Engineering Employment Type: Full-Time Overview: Audacy is looking for a Senior Data Engineer to join our dynamic Data Engineering team. In this role, you'll be at the forefront of ...

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

... Sr. Data Engineer and Data Architect to ensure alignment with data models. • Optimize data ... Required : • Bachelor's degree in Data Engineering, Computer Science, or related field. • 3-5 ...

Senior Data Engineer

Camden, NJ · On-site

$104K - $139K/yr

However, we believe that true senior-level engineering requires the foundational depth to question ... Data Platform Modernization: Lead the technical execution of refactoring legacy logic ...

Sr Data Engineer

Blue Bell, PA · On-site

$109K - $131K/yr

Job Title: Sr Data Engineer Location: Blue Bell, PA Requirement Healthcare, Medical & Pharmacy ... data engineering. Participate in meetings with clients and/or stakeholders. Completes work as ...

Sr Data Engineer

Blue Bell, PA · On-site

$109K - $131K/yr

Job Title: Sr Data Engineer Location: Blue Bell, PA Requirement Healthcare, Medical & Pharmacy ... data engineering. Participate in meetings with clients and/or stakeholders. Completes work as ...

Collaborate with data engineering teams to enhance data and machine learning platforms, evaluate ... Senior leadership teams responsible for strategic business initiatives * External retail partners ...

Collaborate with data engineering teams to enhance data and machine learning platforms, evaluate ... Senior leadership teams responsible for strategic business initiatives * External retail partners ...

URBN Senior Data Engineer

Philadelphia, PA · On-site

$97K - $132K/yr

Pipeline Engineering: Design and implement robust data pipelines for merchandising, web analytics ... Partner with Senior Engineers to implement "Modeling-as-Code," ensuring new data structures follow ...

Senior Data Product Manager

Malvern, PA · On-site

$124K - $163K/yr

The Senior Data Product Manager collaborates with data engineers, architects, product teams, business leaders, analytics, and other stakeholders to strategize and deliver high-impact, scalable ...

Senior Data Product Manager

Malvern, PA

$124K - $163K/yr

The Senior Data Product Manager collaborates with data engineers, architects, product teams, business leaders, analytics, and other stakeholders to strategize and deliver high-impact, scalable ...

Senior Data Product Manager

Malvern, PA · On-site

$124K - $163K/yr

The Senior Data Product Manager collaborates with data engineers, architects, product teams, business leaders, analytics, and other stakeholders to strategize and deliver high-impact, scalable ...

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Senior Data Engineering information

See Philadelphia, PA salary details

$16

$57

$82

How much do senior data engineering jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for senior data engineering in Philadelphia, PA is $57.33, according to ZipRecruiter salary data. Most workers in this role earn between $47.07 and $67.93 per hour, depending on experience, location, and employer.

What is a senior data engineer?

A Senior Data Engineer is an experienced professional who designs, builds, and maintains scalable data systems and infrastructure within an organization. They are responsible for developing robust data pipelines, ensuring data quality, and optimizing data workflows to support analytics and business intelligence needs. Senior Data Engineers often mentor junior team members, collaborate with data scientists and analysts, and help establish best practices for data management. Their expertise enables organizations to efficiently store, process, and analyze large volumes of data for strategic decision-making.

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

To thrive as a Senior Data Engineer, you need deep expertise in data modeling, ETL processes, programming (often Python, Java, or Scala), and a strong background in computer science or a related field. Proficiency with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms such as AWS, Azure, or GCP is typically required, along with relevant certifications. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior engineers. These skills ensure reliable, scalable data infrastructure that supports business intelligence and decision-making across the organization.

How does a senior data engineer typically collaborate with data scientists and analysts on projects?

As a Senior Data Engineer, you will frequently work alongside data scientists and analysts to design, build, and optimize data pipelines and infrastructure that support complex analytics and machine learning initiatives. Collaboration often involves translating business or analytical requirements into scalable data solutions, ensuring data quality, and enabling efficient access to large datasets. Regular communication and agile teamwork are essential, as you'll often participate in cross-functional meetings to align on project goals, resolve data issues, and support the deployment of analytical models into production environments.

What is the difference between Senior Data Engineering vs Data Engineer?

AspectSenior Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience in data pipelines, cloud platformsBachelor's in CS or related field, foundational data skills
Work EnvironmentDesigning complex data systems, mentoring juniors, optimizing pipelinesBuilding and maintaining data pipelines, data ingestion, basic ETL tasks
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, mid-sized companies, tech firms

Senior Data Engineers typically have more experience, handle complex data architecture, and mentor teams, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but Senior Data Engineers often take on leadership and strategic responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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 Senior Data Engineering jobs in Philadelphia, PA?

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

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

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

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

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

Infographic showing various Senior Data Engineering job openings in Philadelphia, PA as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $119,244 per year, or $57.3 per hour.

$112K - $134K/yr

Full-time

Re-posted 15 days ago


Job description

Job Summary:
RIT Solutions, Inc. is seeking a Data Engineer to build and maintain data pipelines for processing data from CSV files through various transformation stages. The role involves developing ETL pipelines, implementing data cleansing processes, and collaborating with senior engineers to ensure data model alignment.
Responsibilities:
• Develop ETL pipelines to process and transform data across bronze, silver, and gold layers.
• Implement data cleansing, validation, and transformation processes to support analytics-ready datasets.
• Collaborate with the Sr. Data Engineer and Data Architect to ensure alignment with data models.
• Optimize data workflows to improve processing times and resource utilization.
Qualifications:
Required:
• Bachelor's degree in Data Engineering, Computer Science, or related field.
• 3-5 years of experience in data engineering, preferably within AWS environments.
• Proficiency in PySpark, SQL, AWS Glue, and S3.
• Robust problem-solving skills and attention to detail.
Preferred:
• Data Engineer
• Data Analysis, Data Warehouse
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.