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Sr Data Engineer Jobs in Reading, PA (NOW HIRING)

Senior Data Engineer

Spring City, PA ยท On-site

$105K - $142K/yr

We are seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and data ingestion processes using modern Big Data technologies. The ideal candidate will have strong ...

New

Sr. Data Engineer - Flink

Reading, PA ยท On-site

$110K - $132K/yr

Function Cloud & Data Engineering Our Company We're Hitachi Digital Services, a global digital ... Act as a senior escalation point for complex production issues involving Apache Flink, AWS Managed ...

Sr. Data Engineer - Flink

Reading, PA ยท On-site

$110K - $132K/yr

Function Cloud & Data Engineering Our Company We're Hitachi Digital Services, a global digital ... Act as a senior escalation point for complex production issues involving Apache Flink, AWS Managed ...

Sr. Data Engineer - Flink

Reading, PA ยท On-site

$110K - $132K/yr

Function Cloud & Data Engineering Our Company We're Hitachi Digital Services, a global digital ... Act as a senior escalation point for complex production issues involving Apache Flink, AWS Managed ...

Senior Maintenance Analyst

Reading, PA ยท On-site

$55 - $70/hr

Senior Data Analyst, location is Hybrid/Onsite. The start date is ASAP for this contract-to-hire ... Collaborate with data science, engineering, and reporting teams to deliver standardized data ...

Data Architect-68464

Reading, PA ยท On-site

$61.25 - $78.75/hr

Function Cloud & Data Engineering Our Company We're Hitachi Digital Services, a global digital ... Senior Data Architect / Enterprise Data Architect Meet Our Team Join our Data & Analytics ...

Data Architect-68464

Reading, PA ยท On-site

$61.25 - $78.75/hr

Senior Data Architect / Enterprise Data ArchitectMeet Our Team Join our Data & Analytics ... Drive engineering best practices across Agile, CI/CD, DevOps, containerization, and Infrastructure ...

Data Architect (DWH)

Reading, PA ยท On-site

$61.25 - $78.75/hr

Meet with Senior & Mid-Level Management to align business process initiatives and strategies with current and planned Penske Data Engineering & Analytics Architecture * Evaluate Data Engineering ...

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Showing results 1-20

Sr Data Engineer information

See Reading, PA salary details

$77.8K

$121.3K

$168.1K

How much do sr data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for sr data engineer in Reading, PA is $121,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,800.00 and $138,300.00 per year, depending on experience, location, and employer.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What are the key skills and qualifications needed to thrive as a Sr data engineer, and why are they important?

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What are popular job titles related to Sr Data Engineer jobs in Reading, PA?

For Sr Data Engineer jobs in Reading, PA, the most frequently searched job titles are:

What job categories do people searching Sr Data Engineer jobs in Reading, PA look for?

The top searched job categories for Sr Data Engineer jobs in Reading, PA are:

What cities near Reading, PA are hiring for Sr Data Engineer jobs?

Cities near Reading, PA with the most Sr Data Engineer job openings:

Infographic showing various Sr Data Engineer job openings in Reading, PA as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $121,319 per year, or $58.3 per hour.

Senior Data Engineer

Techvilla Solutions

Spring City, PA โ€ข On-site

$105K - $142K/yr

Full-time

Posted 2 days ago

New


Job description

We are seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and data ingestion processes using modern Big Data technologies. The ideal candidate will have strong experience in data aggregation, transformation, validation, quality management, ETL, and troubleshooting across large-scale data environments.

Roles and Responsibilities
  • Design, develop, and maintain complex data pipelines and data ingestion processes for data lake environments.

  • Develop data transformation processes to aggregate, standardize, link, validate, and load data from multiple sources.

  • Build and maintain data engineering solutions using Spark, Scala, Hadoop, Hive, SQL/T-SQL, and Shell scripting.

  • Perform data validation, quality checks, analysis, and troubleshooting to ensure data accuracy and integrity.

  • Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality and pipeline performance.

  • Develop tools and processes to improve data processing efficiency, reliability, and performance.

  • Work with technical and operations teams to troubleshoot complex issues involving databases, Linux environments, storage, and servers.

  • Support production environments and resolve critical data and pipeline issues as needed.

  • Generate statistical and operational reports and perform program/data validation.

  • Mentor junior data engineers on data engineering, troubleshooting, and data quality best practices.

  • Collaborate with cross-functional teams in an Agile/SAFe environment to deliver projects within defined timelines.

Required Qualifications
  • 8โ€“10 years of overall industry experience with a Bachelorโ€™s degree in Computer Science, Engineering, Information Technology, or a related field.

  • 5+ years of experience in data aggregation, standardization, data linking, quality checks, and reporting.

  • 5+ years of experience with Big Data technologies such as Hadoop and Spark.

  • 5+ years of experience with relational databases such as Oracle and Microsoft SQL Server.

  • Strong experience with SQL, advanced SQL queries, ETL processes, and data integration tools.

  • Strong understanding of Linux environments, shell scripting, and file systems.

  • Hands-on experience with Spark and Scala.

  • Strong data analysis, debugging, troubleshooting, and root-cause analysis skills.

  • Experience working in an Agile development environment.

Preferred Qualifications
  • Experience working with healthcare data or in a healthcare data operations environment.

  • Experience with Hive and additional Big Data technologies.

  • Experience with data lake and large-scale data ingestion platforms.

  • Experience working in Scaled Agile Framework (SAFe) environments.

  • Availability to support production issues outside standard business hours when required.

  • EST time-zone availability is preferred.