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Data Engineer Jobs in Exton, PA (NOW HIRING)

DATA ENGINEER

Conshohocken, PA · On-site

$112K - $135K/yr

The Data Engineer plays a crucial role in designing, developing, and maintaining scalable data pipelines and architectures using Microsoft Fabric, significantly contributing to the organization ...

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Position : Data Engineer Location : Malvern, PA Hybrid (3 days a week onsite & must be willing to relocate and be onsite on day 1) Duration : 9 months contract with possible extension ...

Data Engineer

Norristown, PA

$109K - $131K/yr

JPC Partners is looking for a Data Engineer that will be responsible for: * Identifying, creating, and preparing data required for modern BI/ML solutions * Building data architectures, and data ...

Data Engineer

Philadelphia, PA

$115K - $138K/yr

Data Engineering, Data Science, and Strategic Analytics. Data Engineering owns the warehouse, the orchestration layer, and the pipelines that move data from our operational systems to everyone who ...

Data Engineer

Philadelphia, PA

$115K - $138K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

MHK TECH INC is seeking a Data Engineer to design and maintain robust data pipelines and manage relational databases. The role involves collaborating with cross-functional teams to operationalize ...

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Data Engineering, Data Science, and Strategic Analytics. Data Engineering owns the warehouse, the orchestration layer, and the pipelines that move data from our operational systems to everyone who ...

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

DATA ENGINEER LOCATION : MALVERN, PA- (LOCAL ONLY ) PLS SUBMIT ONLY THE CANDIDATES WHO ARE LOCAL AND WILLING TO GO FOR AN IN-PERSON INTERVIEW Skillset - Data Engineering: * The position is ...

Data Engineer

West Chester, PA · Remote

$108K - $130K/yr

Your Opportunity, Your Team The Data Engineer supports QVC and will collaborate with an Agile team to build data pipelines and models, exposing analytics through APIs and dashboards. Your work will ...

Data Engineer

West Chester, PA · On-site

$108K - $130K/yr

Your Opportunity, Your Team The Data Engineer supports QVC and will collaborate with an Agile team to build data pipelines and models, exposing analytics through APIs and dashboards. Your work will ...

Data Engineer

Philadelphia, PA · On-site

$109K - $131K/yr

The Data Engineer will be responsible for owning the data warehouse, orchestration layer, and pipelines, ensuring reliable data movement and supporting various business functions. Responsibilities ...

Data Engineer Position: Data Engineer must have Azure Data Factory, MS Fabric, DBT and T-SQL to apply Location: Philadelphia, PA area, Hybrid preferred but will consider REMOTE for the right ...

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 ...

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 ...

Senior Data Engineer -

Malvern, PA · On-site

$112K - $134K/yr

RIT Solutions, Inc. is seeking a Senior Data Engineer for a contract position. The role requires expertise in Big Data engineering and Python development. Responsibilities : • Role - Level 4 Big ...

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 ...

Data Engineer

Philadelphia, PA

$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 ...

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 ...

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 ...

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Showing results 1-20

Data Engineer information

See Exton, PA salary details

$42.9K

$125.2K

$171.3K

How much do data engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data engineer in Exton, PA is $125,195.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $132,700.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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 are Data Engineers?

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.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
What are the most commonly searched types of Data Engineer jobs in Exton, PA? The most popular types of Data Engineer jobs in Exton, PA are:
What are popular job titles related to Data Engineer jobs in Exton, PA? For Data Engineer jobs in Exton, PA, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Exton, PA look for? The top searched job categories for Data Engineer jobs in Exton, PA are:
What cities near Exton, PA are hiring for Data Engineer jobs? Cities near Exton, PA with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Exton, PA as of July 2026, with employment types broken down into 33% Full Time, 17% Temporary, and 50% Contract. Highlights an 83% In-person, and 17% Hybrid job distribution, with an average salary of $125,195 per year, or $60.2 per hour.
DATA ENGINEER

DATA ENGINEER

Judge Group, Inc.

Conshohocken, PA • On-site

$112K - $135K/yr

Other

Re-posted 3 days ago


Job description

Location: Conshohocken, PA Salary: Not Specified by Client Description: Our client is currently seeking a DATA ENGINEER
Permanent Fulltime Opportunity, W2 Only
Conshohocken, PA
POSITION SUMMARY:
The Data Engineer plays a crucial role in designing, developing, and maintaining scalable data pipelines and architectures using Microsoft Fabric, significantly contributing to the organization's data strategy and broader goals. This role involves implementing ETL processes to ensure data accuracy and availability, optimizing data workflows for performance, and providing guidance on visualization tools like Power BI. The Data Engineer is responsible for monitoring and troubleshooting data pipeline issues, developing comprehensive documentation, and staying updated with the latest trends in data engineering.
Collaboration with cross-functional teams is essential, as this role supports the creation of innovative and efficient data solutions that drive strategic decision-making and operational success. The ideal candidate is proficient in programming languages such as Python, Java, or Scala, and has a strong understanding of data governance and security best practices. This position is pivotal in ensuring the integrity and performance of the organization's data infrastructure, aligning with the company's commitment to excellence and innovation.
ESSENTIAL DUTIES:
Data Pipeline and Architecture
oDesign, develop, and maintain scalable data pipelines and architectures using Microsoft Fabric.
oImplement ETL processes to ensure data accuracy and availability.
oOptimize and tune data workflows for performance and scalability.
Visualization and Guidance
oProvide guidance on visualization tools, focusing on Power BI.
oContribute to guidelines and standards for visualization techniques and analytic dashboards.
Monitoring and Troubleshooting
oMonitor and troubleshoot data pipeline issues, ensuring timely resolution.
Documentation and Best Practices
oDevelop and maintain documentation for data processes, architectures, and workflows.
oStay updated with the latest trends and best practices in data engineering and Microsoft Fabric.
Additional Duties: Tasks or duties not outlined in this job description may be required to contribute to the organization's success and efficiency.
QUALIFICATIONS:
Education & Experience:
Bachelor's in computer science, data engineering, statistics, mathematics, or related fields.
5 years in data visualization, data mining, and analysis using Power BI
Proven experience as a Data Engineer, with a focus on MS Tech stack; Microsoft Fabric preferred.
Ability to write complex SQL queries.
Experience with Azure DevOps Git for version control.
Experience creating data pipelines within Fabric workspace to transfer transformed data from Lakehouse to warehouse tables within Fabric workspace.
Understanding of data governance and security best practices.
Tools & Systems:
Proficiency in programming languages such as Python, Java, or Scala.
Familiarity with cloud platforms such as Azure.
Experience with CI/CD pipelines and automation tools.
The role involves frequent use of standard office equipment, such as computers, phones,
and printers.
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!