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Data Engineer Jobs in Exton, PA (NOW HIRING)

Prophecy Technologies

Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

We are seeking an experienced Data Engineer to join our team. The ideal candidate will have strong expertise in designing and implementing efficient and scalable data pipelines using Apache Spark ...

Judge Group, Inc.

DATA ENGINEER

Conshohocken, PA

$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 ...

Hamilton Lane

Data Engineer

Conshohocken, PA · On-site

$112K - $135K/yr

As an ETL Data Engineer, you will play a critical role in our expanding data engineering team. You will be responsible for designing, developing, and maintaining ETL data integration processes ...

Hamiltonlane

Data Engineer

Conshohocken, PA

$112K - $135K/yr

As an ETL Data Engineer, you will play a critical role in our expanding data engineering team. You will be responsible for designing, developing, and maintaining ETL data integration processes ...

Kanak Elite Services Inc

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 ...

Morgan Properties

Data Engineer

Conshohocken, PA · On-site

$100K - $120K/yr

DATA ENGINEER Position Summary The Data Engineer plays a crucial role in designing, developing, and maintaining scalable data pipelines and architectures using Microsoft Fabric , significantly ...

JPC Partners

Data Engineer

Norristown, PA · On-site

$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 ...

JPC Partners

Data Engineer

Audubon, 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 ...

GCS

Data Engineer

Philadelphia, PA

$115K - $138K/yr

We are seeking an experienced Data Engineer to design, build, and optimize scalable data platforms that support analytics, reporting, and data-driven decision-making across the organization. This ...

Perpay - Career's Page

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 ...

Dlapiper

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 ...

Dlapiper

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 ...

Kanak Elite Services Inc

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 ...

Perpay - Career's Page

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 ...

GLOBAL IT CON LLC

Data Engineer

Wilmington, DE

$111K - $133K/yr

Data Engineer Position Responsibilities Data Engineer Local preferred Wilmington DE W2 Candidates only Must Have skills: Python/Java, PySpark, AWS, Databricks : Must have Pyspark/python/Spark/ETL ...

Qurate Retail Group

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 ...

QVC

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 ...

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 ...

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 ...

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All JobsData Engineer JobsData Engineer Jobs in Exton, PA

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 Jun 15, 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.

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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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 pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
More about Data Engineer jobs
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Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Exton, PA as of June 2026, with employment types broken down into 88% Full Time, 8% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $125,195 per year, or $60.2 per hour.

Data Engineer

Prophecy Technologies

Wilmington, DE • On-site

$111K - $133K/yr

Full-time

Posted yesterday

Job description

Job Summary:
We are seeking an experienced Data Engineer to join our team. The ideal candidate will have strong expertise in designing and implementing efficient and scalable data pipelines using Apache Spark with Java, integrating data from diverse sources into data lakes (e.g., S3) and data warehouses (e.g., Redshift). This role offers an exciting opportunity to work on enterprise-level data engineering projects.
Key Responsibilities:
  • Design and develop efficient and scalable data pipelines using Apache Spark with Java, integrating data from diverse sources into data lakes (e.g., S3) and data warehouses (e.g., Redshift).
  • Leverage a range of AWS services for data storage, processing, and analytics, including but not limited to S3, Redshift, Glue, EMR, Lambda, Kinesis, and DynamoDB.
  • Optimize Spark applications and data pipelines for performance, cost-efficiency, and reliability, including tuning Spark configurations and utilizing appropriate AWS resources.
  • Design and implement data models for structured and unstructured data, and contribute to the overall data architecture strategy within an AWS environment.
  • Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
  • Implement monitoring solutions for data pipelines and infrastructure, and troubleshoot issues to ensure data quality and system stability.
  • Implement data security measures and adhere to data governance policies within the AWS ecosystem.
  • Create and maintain comprehensive documentation for data engineering processes, designs, and deployments.

Required Technical Skills:
  • Strong proficiency in Java, with experience in developing Spark applications.
  • In-depth knowledge and hands-on experience with Apache Spark, including Spark SQL, DataFrames, and RDDs.
  • Extensive experience with AWS services, particularly those related to data engineering (S3, Redshift, Glue, EMR, Kinesis, Lambda).
  • Experience with data warehousing concepts and technologies (e.g., Redshift, Snowflake), and building data lakes on S3.
  • Proficiency in SQL and experience with both relational and NoSQL databases.
  • Strong understanding and practical experience in designing and implementing ETLELT processes.
  • Excellent analytical and problem-solving skills, with the ability to troubleshoot complex data issues.

Required Qualifications:
  • 8-10 years of experience in data engineering.
  • Relevant certification in data engineering or related field.
  • Bachelor's degree in Computer Science or related field.

Preferred Qualifications:
  • Experience with PySpark.
  • Strong communication and collaboration skills to work effectively within a team and with various stakeholders.

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