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Data Engineer Jobs in Reading, PA (NOW HIRING)

Metropolitan Staffing

Data Engineer

Wyomissing, PA · On-site

$110K - $132K/yr

Metropolitan Companies is seeking a Data Engineer to support our growing data and application environment. This role will serve as a critical bridge between traditional database administration and ...

Techvilla Solutions

Senior Data Engineer

Spring City, PA

$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

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 solutions and transformation business with a bold vision of our world's potential. We're people-centric ...

Hitachi

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 solutions and transformation business with a bold vision of our world's potential. We're people-centric ...

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 solutions and transformation business with a bold vision of our world's potential. We're people-centric ...

Saransh Inc

Data Architect (DWH)

Reading, PA · On-site

$61.25 - $78.75/hr

Contract * 14+ years of experience in IT * 12+ years of Data Engineering, Data Modeling, Data Warehousing, Master Data Management, Reference Data Management, Data Lineage, Data Governance and Meta ...

Kanak Elite Services Inc

ETL Snowflake Developer

Reading, PA · On-site

$49 - $64/hr

We're looking for a Data Engineer with hands-on experience in Snowflake and dbt to design, build, and optimize scalable data pipelines. You will work on transforming raw data into actionable insights ...

Robert Half

Data Analyst

New Holland, PA · On-site

$100K - $110K/yr

Investigate data discrepancies and partner with Data Engineering and QA teams to implement sustainable solutions. Design, develop, and support operational dashboards and reporting solutions using ...

New

Penske

Lead Enterprise Data Steward

Reading, PA · On-site

This role serves as the primary liaison between Data Owners, Business Data Stewards, Technical Data Stewards, Data Engineering, Business Intelligence, Enterprise Architecture, Analytics, and Master ...

Penske

Lead Enterprise Data Steward

Reading, PA · On-site

This role serves as the primary liaison between Data Owners, Business Data Stewards, Technical Data Stewards, Data Engineering, Business Intelligence, Enterprise Architecture, Analytics, and Master ...

Penske

Lead Enterprise Data Steward

Reading, PA · On-site

This role serves as the primary liaison between Data Owners, Business Data Stewards, Technical Data Stewards, Data Engineering, Business Intelligence, Enterprise Architecture, Analytics, and Master ...

Broadcom

MES Software Engineer/Data Analyst

Breinigsville, PA · On-site

$108K - $130K/yr

Collaborate with data science and AI teams to integrate predictive analytics, machine learning, and automation tools * Collaborate with manufacturing and engineering teams to translate business ...

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All JobsData Engineer JobsData Engineer Jobs in Reading, PA

Data Engineer information

See Reading, PA salary details

$42.7K

$124.6K

$170.5K

How much do data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineer in Reading, PA is $124,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $132,000.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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:

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

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

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Reading, PA as of August 2026, with employment types broken down into 85% Full Time, 7% Temporary, and 8% Contract. Highlights an 71% In-person, 9% Hybrid, and 20% Remote job distribution, with an average salary of $124,573 per year, or $59.9 per hour.

Data Engineer

Metropolitan Staffing

Wyomissing, PA • On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Job description

Metropolitan Companies is seeking a Data Engineer to support our growing data and application environment. This role will serve as a critical bridge between traditional database administration and modern data engineering-supporting data pipelines, integrations, reporting, and database performance.

This position is ideal for someone who has a strong foundation in SQL and databases, and is looking to grow into data engineering, automation, and analytics. The individual will work closely with developers, business teams, and IT leadership to ensure data is accurate, accessible, and optimized for business use.
This is an excellent opportunity for a motivated professional with a strong technical background who enjoys working in a fast-paced, evolving environment. We offer a competitive compensation package including medical, dental, vision, life insurance, disability coverage, 401(k), bonus opportunities, paid time off, and more.
  • Design, build, and maintain data pipelines for internal applications and reporting
  • Write, optimize, and maintain SQL queries, stored procedures, and database jobs
  • Support and maintain SQL Server and other relational databases
  • Monitor database performance, troubleshoot issues, and improve efficiency
  • Assist with ETL/ELT processes to move and transform data between systems
  • Work with APIs and external systems to integrate data into internal platforms
  • Ensure data integrity, consistency, and reliability across systems
  • Support reporting needs for operations, finance, and leadership teams
  • Assist in managing backups, restores, and disaster recovery processes
  • Document data flows, schemas, and processes for internal use
  • Collaborate with development teams on data structures and application performance
Requirements: 
  • 2-5 years of experience working with databases or data-related roles
  • Strong knowledge of SQL (queries, joins, indexing, performance tuning)
  • Experience with SQL Server or similar relational databases
  • Understanding of data structures and relational design
  • Experience writing scripts or automations (PowerShell, Python, or similar)
  • Ability to troubleshoot data issues and think analytically
  • Strong attention to detail and data accuracy

Preferred: 
  • Experience with ETL tools or data pipeline frameworks
  • Familiarity with APIs and data integrations
  • Exposure to cloud platforms (AWS, Azure, or GCP)
  • Experience with reporting tools (Power BI, Tableau, etc.)
  • Understanding of CI/CD or version control (Git)
  • Basic knowledge of data warehousing concepts



  • Medical, Dental, Vision Insurance
  • Voluntary Benefits (Life Insurance, Short-Term & Long-Term Disability)
  • Health Savings Account (HSA)
  • 401(k) Plan
  • Holiday Pay
  • Paid Time Off
  • Bonus Program
  • Employee Referral Bonus

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