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Senior Data Engineering Jobs in Philadelphia, PA

RIT Solutions, Inc.

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 ...

Audacy, Inc.

Senior Data Engineer

Philadelphia, PA · On-site

$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 ...

RIT Solutions, Inc.

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 ...

3B Staffing LLC

SENIOR DATA ENGINEER

Malvern, PA · Remote

$104K - $141K/yr

ROLE SENIOR DATA ENGINEER INDUSTRY Pharma, Development & Manufacturing DURATION CONTRACT, probable ... client's Data Engineering and Integration team. The individual will contribute to the overall ...

New

3B Staffing LLC

SENIOR DATA ENGINEER

Malvern, PA · Remote

$104K - $141K/yr

ROLE SENIOR DATA ENGINEER INDUSTRY Pharma, Development & Manufacturing DURATION CONTRACT, probable ... client's Data Engineering and Integration team. The individual will contribute to the overall ...

New

Serigor, Inc.

Senior Data Engineer (Hybrid)

Wilmington, DE · On-site

$102K - $139K/yr

Senior Data Engineer (Hybrid) Location: Wilmington, DE / Berwyn, PA Duration: 18 Months, quarterly ... Data Engineering * Design, develop, and maintain scalable data pipelines. * Optimize data ingestion ...

New

Techvilla Solutions

Senior Data Engineer

Rushland, PA

$102K - $139K/yr

We are seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and ... Build and maintain data engineering solutions using Spark, Scala, Hadoop, Hive, SQL/T-SQL, and ...

New

Techvilla Solutions

Senior Data Engineer

Paoli, PA

$103K - $140K/yr

We are seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and ... Build and maintain data engineering solutions using Spark, Scala, Hadoop, Hive, SQL/T-SQL, and ...

New

Techvilla Solutions

Senior Data Engineer

Ambler, PA

$101K - $138K/yr

We are seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and ... Build and maintain data engineering solutions using Spark, Scala, Hadoop, Hive, SQL/T-SQL, and ...

New

Techvilla Solutions

Senior Data Engineer

Edgemont, PA

$104K - $141K/yr

We are seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and ... Build and maintain data engineering solutions using Spark, Scala, Hadoop, Hive, SQL/T-SQL, and ...

New

Techvilla Solutions

Senior Data Engineer

Maple Glen, PA

$94K - $128K/yr

We are seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and ... Build and maintain data engineering solutions using Spark, Scala, Hadoop, Hive, SQL/T-SQL, and ...

New

Techvilla Solutions

Senior Data Engineer

Line Lexington, PA

$107K - $145K/yr

We are seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and ... Build and maintain data engineering solutions using Spark, Scala, Hadoop, Hive, SQL/T-SQL, and ...

New

Techvilla Solutions

Senior Data Engineer

Narberth, PA

$101K - $137K/yr

We are seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and ... Build and maintain data engineering solutions using Spark, Scala, Hadoop, Hive, SQL/T-SQL, and ...

New

Techvilla Solutions

Senior Data Engineer

Marple Township, PA

$101K - $138K/yr

We are seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and ... Build and maintain data engineering solutions using Spark, Scala, Hadoop, Hive, SQL/T-SQL, and ...

New

Techvilla Solutions

Senior Data Engineer

Sumneytown, PA

$101K - $138K/yr

We are seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and ... Build and maintain data engineering solutions using Spark, Scala, Hadoop, Hive, SQL/T-SQL, and ...

New

Techvilla Solutions

Senior Data Engineer

Buckingham, PA

$103K - $140K/yr

We are seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and ... Build and maintain data engineering solutions using Spark, Scala, Hadoop, Hive, SQL/T-SQL, and ...

New

Techvilla Solutions

Senior Data Engineer

King Of Prussia, PA

$105K - $143K/yr

We are seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and ... Build and maintain data engineering solutions using Spark, Scala, Hadoop, Hive, SQL/T-SQL, and ...

New

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

Senior Data Engineering information

See Philadelphia, PA salary details

$16

$57

$82

How much do senior data engineering jobs pay per hour?

As of Sep 5, 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:

Senior Data Engineering jobs near you
Infographic showing various Senior Data Engineering job openings in Philadelphia, PA as of August 2026, with employment types broken down into 25% Full Time, and 75% Contract. Highlights an 100% In-person job distribution, with an average salary of $119,244 per year, or $57.3 per hour.

Senior Data Engineer, Malvern, PA (Onsite)

Prohires

Malvern, PA • On-site

$112K - $134K/yr

Other

Posted 2 days ago

New

Job description

Senior Data Engineer

Location: Malvern, PA (Onsite)
Duration: Long-Term Contract
Experience Required: 8+ Years

Job Summary

We are seeking a highly skilled Senior Data Engineer with strong expertise in Python, SQL, and AWS cloud technologies to design, develop, and optimize scalable data solutions. The ideal candidate will have extensive experience building modern data pipelines, ETL/ELT frameworks, cloud-native architectures, and large-scale data processing systems. This role will be responsible for developing robust data platforms that support analytics, reporting, machine learning, and business intelligence initiatives.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using Python and AWS services.
  • Build and optimize ETL/ELT workflows for ingesting, transforming, and loading large datasets.
  • Develop cloud-native data solutions leveraging AWS services such as Glue, S3, Lambda, Redshift, Athena, CloudWatch, and IAM.
  • Write complex and optimized SQL queries for data extraction, transformation, validation, and reporting.
  • Design and implement data models for analytics and business intelligence platforms.
  • Monitor, troubleshoot, and optimize data workflows to ensure reliability and performance.
  • Collaborate with Data Scientists, Analysts, Architects, and Business stakeholders to understand data requirements and deliver solutions.
  • Implement data quality, governance, security, and compliance standards across data platforms.
  • Build automation frameworks for data processing and operational support.
  • Participate in code reviews, architecture discussions, and technical design sessions.
  • Create technical documentation and maintain best practices for data engineering processes.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
  • 8+ years of experience in Data Engineering and Data Warehousing.
  • Strong hands-on experience with Advanced Python programming for data engineering applications.
  • Extensive experience with SQL and relational databases.
  • Strong AWS experience with:
    • AWS Glue
    • Amazon S3
    • AWS Lambda
    • Amazon Redshift
    • AWS Athena
    • CloudWatch
    • IAM
  • Experience building and maintaining large-scale ETL/ELT pipelines.
  • Strong understanding of data modeling, data warehousing, and dimensional modeling concepts.
  • Experience with performance tuning and optimization of SQL queries and data pipelines.
  • Knowledge of CI/CD practices and version control tools such as Git.
  • Strong troubleshooting and problem-solving skills.
Preferred Qualifications
  • Experience with Apache Spark, PySpark, or distributed data processing frameworks.
  • Experience with Airflow or other workflow orchestration tools.
  • Knowledge of streaming technologies such as Kafka or Kinesis.
  • Experience working in Agile/Scrum environments.
  • Exposure to Snowflake, Databricks, or other modern data platforms.
  • AWS certifications are a plus.
Technical Skills

Programming:

  • Python (Advanced)
  • SQL

Cloud & Data Services:

  • AWS Glue
  • Amazon S3
  • AWS Lambda
  • Amazon Redshift
  • AWS Athena
  • CloudWatch
  • IAM

Tools & Technologies:

  • Git
  • CI/CD Pipelines
  • ETL/ELT Frameworks
  • Data Warehousing
  • Data Modeling
Nice to Have
  • PySpark / Spark
  • Airflow
  • Kafka
  • Snowflake
  • Databricks
  • Machine Learning Data Pipelines

Keywords: Senior Data Engineer, Python Data Engineer, AWS Data Engineer, ETL Developer, Data Warehouse Engineer, AWS Glue, Redshift, Lambda, S3, SQL, PySpark, Airflow, Data Pipelines, Cloud Data Engineering.

 

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