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Data Engineer Jobs in Wayne, PA (NOW HIRING)

Compunnel

Data Engineer

Wayne, PA · On-site

$103K - $124K/yr

Job Summary We are seeking a Data Engineer to design, develop, and maintain scalable data pipelines that enable efficient data integration, processing, and analytics across enterprise platforms. This ...

Amerihealth Caritas

Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Role Overview The Azure Data Engineer designs, builds, and optimizes large scale cloud data solutions on Microsoft Azure. The role requires deep hands on expertise with modern ingestion frameworks to ...

Amerihealth Caritas

Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Role Overview The Azure Data Engineer designs, builds, and optimizes large scale cloud data solutions on Microsoft Azure. The role requires deep hands on expertise with modern ingestion frameworks to ...

Kanak Elite Services Inc

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

DATA ENGINEER LOCATION: MALVERN, PA(HYBRID- 3 DAYS A WEEK ONSITE & MUST BE WILLING TO RELOCATE AND BE ONSITE ON DAY 1) Responsibilities * Design, develop, and maintain scalable data pipelines and ETL ...

UGI

Lead Data Engineer

King Of Prussia, PA

$111K - $134K/yr

Position Summary The Lead Data Engineer is a hands-on technical leader responsible for leading data engineering initiatives, managing a team of 1-3 direct reports, and personally building robust data ...

Forhyre

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst ...

UGI Corporation

Lead Data Engineer

King Of Prussia, PA · On-site

$111K - $134K/yr

Position Summary The Lead Data Engineer is a hands-on technical leader responsible for leading data engineering initiatives, managing a team of 1-3 direct reports, and personally building robust data ...

Forhyre

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst ...

Aramark

Data Engineer

Philadelphia, PA · On-site

$100K - $130K/yr

We are seeking a Data Engineer who will work hands-on and collaboratively with our enterprise and line of business stakeholders to continue the evolution of our enterprise data platform and ...

Aramark

Data Engineer

Philadelphia, PA · On-site

$100K - $130K/yr

We are seeking a Data Engineer who will work collaboratively with our enterprise and line of business stakeholders to continue the evolution of our enterprise data platform. The successful candidate ...

Aramark

Data Engineer

Philadelphia, PA · On-site

$100K - $130K/yr

We are seeking a Data Engineer who will work collaboratively with our enterprise and line of business stakeholders to continue the evolution of our enterprise data platform. The successful candidate ...

RIT Solutions, Inc.

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

RIT Solutions, Inc. is seeking an experienced Data Engineer to join their AI/ML Engineering team. The role involves developing and optimizing complex data pipelines and building scalable AI/ML ...

Insight Global

Lead Data Engineer

Fort Washington, PA · On-site

$135K - $145K/yr

All other days WFH Open to all Sponsorship requirements Must-Haves: * 15+ years of experience in Data Engineering and a combination of technical leadership and hands-on engineering experience

Daymark Health

Data Engineer

Philadelphia, PA

$140K - $160K/yr

WHAT YOU'LL DO At Daymark Health, we are transforming how data drives decision-making in healthcare. We are seeking a Data Engineer who is passionate about building scalable, impactful data pipelines ...

New

Judge Group, Inc.

Data Engineer

Wilmington, DE · On-site

$80 - $85/hr

Role: Senior Data Engineer Duration: 6-12+ months RTH Location: Wilmington, Delaware Interview Process: 2 rounds Must Haves: (Java OR Python), Spark, (AWS OR Databricks), Airflow, Relational ...

Arbor

Data Engineer

Philadelphia, PA · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Wayne, PA

Data Engineer information

See Wayne, PA salary details

$40.3K

$117.5K

$160.8K

How much do data engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data engineer in Wayne, PA is $117,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $124,600.00 per year, depending on experience, location, and employer.

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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Wayne, PA? The most popular types of Data Engineer jobs in Wayne, PA are:
What are popular job titles related to Data Engineer jobs in Wayne, PA? For Data Engineer jobs in Wayne, PA, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Wayne, PA look for? The top searched job categories for Data Engineer jobs in Wayne, PA are:
What cities near Wayne, PA are hiring for Data Engineer jobs? Cities near Wayne, PA with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Wayne, PA as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $117,545 per year, or $56.5 per hour.

Data Engineer

Compunnel

Wayne, PA • On-site

$103K - $124K/yr

Contractor

Posted 20 days ago

Job description

Job Summary
We are seeking a Data Engineer to design, develop, and maintain scalable data pipelines that enable efficient data integration, processing, and analytics across enterprise platforms. This role is responsible for building ETL solutions, optimizing databases, supporting business intelligence initiatives, and leveraging modern cloud-based data technologies. The ideal candidate will have experience with AWS, Snowflake, SQL, Python, ETL development, and data governance while collaborating with cross-functional teams to deliver high-quality data solutions.
Key Responsibilities
• Design, develop, and maintain scalable ETL (Extract, Transform, Load) processes to support enterprise data integration.
• Build and optimize database systems for real-time and batch analytical processing.
• Integrate large-scale data from multiple sources to support business intelligence and analytics initiatives.
• Troubleshoot data pipelines, software, and processes to ensure data consistency, integrity, and reliability.
• Translate business requirements into technical designs and scalable data solutions.
• Develop complex SQL queries, data processing programs, reports, and reusable code.
• Ensure code is well-structured, documented, maintainable, and reusable.
• Collaborate with business stakeholders to understand data requirements and deliver effective solutions.
• Lead all phases of solution development from design through implementation and deployment.
• Communicate technical concepts and solution designs to business partners and technical teams.
• Perform comprehensive testing and validation of data solutions to ensure quality and accuracy.
• Provide data analysis guidance and technical support to internal teams.
• Develop and deliver training materials, job aids, and knowledge-sharing sessions on data tools and technologies.
• Perform regression testing and implement new software releases into production environments.
• Collaborate with vendors to resolve software issues and support production deployments.
• Participate in special projects and perform additional responsibilities as needed.
Required Qualifications
• Bachelor's degree or equivalent combination of education and experience.
• 5+ years of experience in data analytics, data engineering, programming, database administration, or data management.
• Experience with data integration and ETL development.
• Experience with machine learning concepts and supporting data platforms.
• Experience with data governance principles and best practices.
• Strong SQL and Python programming skills.
• Experience with AWS services including Glue ETL, Lambda, Redshift, S3, and related cloud technologies.
• Experience building and supporting AWS infrastructure and CI/CD pipelines.
• Experience with Snowflake data platform.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to work in a hybrid environment with onsite presence three days per week.
Preferred Qualifications
• Experience designing enterprise-scale data pipelines and analytics platforms.
• Experience supporting business intelligence and reporting initiatives.
• Experience with cloud-native data architectures and modern data engineering best practices.
• Experience working in Agile development environments.
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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

Social media

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