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

Techvilla Solutions

Senior Data Engineer

Spring City, PA · 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

Hitachi, Ltd.

Sr. Data Engineer - Flink

Reading, PA · 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 ...

Hitachi

Sr. Data Engineer - Flink

Reading, PA · 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 ...

Hitachi Careers

Sr. Data Engineer - Flink

Reading, PA · 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 ...

Mondo

Senior Maintenance Analyst

Reading, PA · 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 ...

Hitachi, Ltd.

Data Architect-68464

Reading, PA · 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 ...

Hitachi

Data Architect-68464

Reading, PA · 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 ...

Saransh Inc

Data Architect (DWH)

Reading, PA · 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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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Reading, PA

Senior Data Engineer information

See Reading, PA salary details

$77.8K

$121.3K

$168.1K

How much do senior data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for senior 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 senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and 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 Engineer jobs in Reading, PA?

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

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

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

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

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

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

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

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Reading, PA as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $121,319 per year, or $58.3 per hour.

Senior Data Engineer

Techvilla Solutions

Spring City, PA • 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

  • 8–10 years of overall industry experience with a Bachelor’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.

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