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

Senior Data Engineer

Spring City, PA · On-site

$105K - $142K/yr

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 ...

New

Understand and analyze data and identify any data discrepancies and performance bottlenecks ... from junior and offshore BI software engineers. Participate in conducting new hire interviews.

Understand and analyze data and identify any data discrepancies and performance bottlenecks ... from junior and offshore BI software engineers. Participate in conducting new hire interviews.

Provide guidance and technical support to Engineer I staff, interns, and other junior team members ... Frequent use of hands and fingers for typing, data entry, and reviewing engineering documents.

Finally, you will get an opportunity to work with a diverse team and mentor junior BI software ... data discrepancies and performance bottlenecks. • Leverage knowledge of data modeling ...

Familiarity with advanced data analysis and statistical process control (SPC) * Prior experience ... Mentor junior and mid-level engineers, leading design reviews and establishing technical best ...

Optical Test Engineer

Allentown, PA · On-site

$118K - $220K/yr

Utilize data-driven insights from test systems to influence product development and enhance yield ... Mentor junior and mid-level engineers, leading design reviews and establishing technical best ...

Software Engineer II - Digital Products

Reading, PA · On-site

$93K - $128K/yr

While data is very important, the key to our success is our people. You'll work alongside great ... You will mentor and guide junior engineers, ensure adherence to coding standards, and promote best ...

Software Engineer II - Digital Products

Reading, PA · On-site

$93K - $128K/yr

While data is very important, the key to our success is our people. You'll work alongside great ... You will mentor and guide junior engineers, ensure adherence to coding standards, and promote best ...

Software Engineer II - Digital Products

Reading, PA · On-site

$93K - $128K/yr

While data is very important, the key to our success is our people. You'll work alongside great ... You will mentor and guide junior engineers, ensure adherence to coding standards, and promote best ...

Be Seen First

Provides technical direction to junior engineers and designers. * Ensures quality assurance and ... as collecting and analyzing data related to specific tasks. * Independently works through ...

Process Engineer

East Texas, PA · On-site

$120 - $180/hr

... junior scientists, engineers, and technical staff. * Guide the R&D team and any external partners in the design and execution of experiments to develop the required base data for chemical process ...

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Showing results 1-20

Junior Data Engineer information

See Reading, PA salary details

$32.2K

$69K

$105.2K

How much do junior data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for junior data engineer in Reading, PA is $68,952.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,600.00 and $76,800.00 per year, depending on experience, location, and employer.

What is a junior data engineer?

A Junior Data Engineer is an entry-level role focused on building and maintaining data pipelines, supporting data integration, and ensuring efficient data flow within an organization. They work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to help store, process, and analyze data. Junior Data Engineers collaborate with senior engineers and data analysts to optimize data infrastructure and improve performance. They typically have knowledge of SQL, Python, and big data tools like Spark or Hadoop. This role serves as a foundation for advancing into senior data engineering positions.

What are the typical responsibilities of a junior data engineer?

As a Junior Data Engineer, you will likely spend your days assisting with data pipeline development, performing basic data extraction, transformation, and loading (ETL) tasks, and helping maintain and troubleshoot databases. You may also be responsible for supporting data quality checks, writing simple scripts, and documenting your processes to help senior engineers and data analysts. Collaboration is key, as you'll often work closely with team members to understand project requirements and integrate feedback. This role offers the chance to build technical skills on real-world projects while gaining mentorship from experienced engineers.

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 Junior Data Engineer jobs in Reading, PA?

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

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

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

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

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

Infographic showing various Junior Data Engineer job openings in Reading, PA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $68,952 per year, or $33.1 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.