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Data Engineer Jobs in Exton, PA (NOW HIRING)

Lead Data Engineer

King Of Prussia, PA ยท 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 ยท On-site

$100K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Lead Data Engineer

King Of Prussia, PA ยท 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 ยท 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

Malvern, PA ยท 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 ...

Data Engineer

Philadelphia, PA ยท On-site

$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 ...

Data Engineer

Philadelphia, PA

$115K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Data Engineer

Philadelphia, PA ยท 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 ...

Snowflake Data Engineer

West Chester, PA ยท On-site

$108K - $130K/yr

This role is for a Data Engineer focused on designing, implementing, and optimizing robust ETL/ELT pipelines and complex data models primarily using PySpark and Snowflake. The engineer will be ...

Data Engineer

Wilmington, DE ยท On-site

$111K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

West Chester, PA ยท On-site

$108K - $130K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Innovation Lab Data Engineer Fellowship * Join an innovative, like-minded team that focuses on your personal growth and accelerating your career! * Use your skills and experience for social good.

Lead Data Engineer

Wilmington, DE ยท On-site

$111K - $133K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Senior Data Engineer (Customer Data Products)

Philadelphia, PA ยท On-site

$127K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

The Data Engineer will help modernize, expand, and optimize NBME's data platform by building data lakes, complex data integration pipelines, and scalable data solutions that support analytics, AI/ML ...

Senior Data Engineer (Customer Data Products)

Philadelphia, PA ยท On-site

$127K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

The Data Engineer will help modernize, expand, and optimize NBME's data platform by building data lakes, complex data integration pipelines, and scalable data solutions that support analytics, AI/ML ...

Lead Data Engineer

Wilmington, DE ยท On-site

$111K - $133K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Showing results 21-40

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 Aug 14, 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.

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.

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 August 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.

Lead Data Engineer

UGI

King Of Prussia, PA โ€ข On-site

$111K - $134K/yr

Full-time

Re-posted 2 days ago


Job description

Requisition Number:ย 28409ย 

When you work for AmeriGas, you become a part of something BIG! Founded in 1959, AmeriGas is the nation's premier propane company, serving over 1.5 million residential, commercial, industrial and motor fuel propane customers. Together, over 6,500 dedicated professionals will deliver over 1 billion gallons of propane from 1,800+ distribution points across the United States.

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 models and ETL pipelines to meet organizational goals. This role requires proficiency in Snowflake, SQL, and Databricks, with extensive experience integrating data from multiple source systems. The Lead Data Engineer will be deeply involved in coding and implementation work while also serving as a thought leader in best data engineering practices, mentoring team members, and establishing technical standards across the organization.

Duties and Responsibilities

Hands-on development:ย 
ย  ย Personally design, build, and maintain complex ETL/ELT pipelines from diverse source systems using Snowflake and Databricks
Direct technical contribution:
ย  ย Write production-quality code and SQL on a daily basis, serving as a primary technical contributor to critical data engineering projects
ย  ย Lead and manage a team of 1-3 data engineers, providing technical guidance, code reviews, mentorship, and performance management
ย  ย Architect and implement scalable data models and infrastructure that align with business objectives
Thought leadership:ย 
ย  ย Drive innovation and establish best practices in data engineering, serving as the subject matter expert for modern data platform capabilities
ย  ย Manage the full life-cycle development process for data engineering projects, from requirements gathering through deployment and maintenance
ย  ย Collaborate with data science and BI teams to enable deployment of scalable data solutions across the company's ecosystem
ย  ย Establish and enforce data engineering best practices, coding standards, and quality assurance protocols through both leadership and example
ย  ย Provide expert-level support and hands-on troubleshooting for SQL optimization, data warehousing, and cloud data platform architecture
ย  ย Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub)

Knowledge, Skills and Abilities

  • Proficiency in Snowflake, including advanced features such as data sharing, streams, tasks, and performance optimization
  • Expert-level SQL skills for complex queries, stored procedures, and database optimization with ability to write highly efficient, production-ready code
  • Extensive hands-on experience with Databricks, including Delta Lake, Apache Spark, and cluster management
  • Proven experience designing and personally implementing ETL/ELT processes from multiple heterogeneous source systems
  • Experience with QlikSense and QlikView for data integration and analytics (strongly preferred)
  • Advanced working knowledge of Python and/or other programming languages for data engineering workflows
  • Strong understanding of modern data architecture principles, including data warehousing, data lakes, and lakehouse architectures
  • Excellent communication skills with ability to effectively convey complex technical concepts to both technical and non-technical stakeholders
  • Business acumen with ability to identify risks, opportunities, and generate innovative solutions to complex data challenges
  • Strong project management skills with ability to prioritize competing demands and deliver results on time
  • Collaborative mindset with experience working across data science, analytics, engineering, and business teams

Minimum Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Mathematics, Statistics, or related technical discipline required; Master's Degree preferred
  • 5+ years of hands-on, individual contributor experience in data engineering with progressively increasing responsibility
  • 2+ years of experience in a technical leadership or team lead capacity while maintaining significant hands-on coding responsibilities

AmeriGas Propane, Inc.ย is an Equal Opportunity Employer. The Company does not discriminate on the basis of race, color, sex, national origin, disability, age, gender identity, sexual orientation, veteran status, or any other legally protected class in its practices.

AmeriGas is a Drug Free Workplace. Candidates must be willing to submit to a pre-employment drug screen and a criminal background check. Successful applicants shall be required to pass a pre-employment drug screen as a condition of employment, and if hired, shall be subject to substance abuse testing in accordance with AmeriGas policies. As a federal contractor that engages in safety-sensitive work, AmeriGas cannot permit employees in certain positions to use medical marijuana, even if prescribed by an authorized physician. ย Similarly, applicants for such positions who are actively using medical marijuana may be denied hire on that basis.

#LI-hybrid


UGI logo

About UGI

Sourced by ZipRecruiter

UGI Corporation, headquartered in King of Prussia, PA, US, is a diversified utility service company engaged in the distribution and marketing of energy products and services on an international scale. Founded in 1882, the corporation operates through its various subsidiaries in the domestic and international markets. Its repertoire of products and services includes natural gas, liquid fuels, and electricity. The company has fundamentally positioned itself as a leader in the energy industry with a commitment to safety, reliability, and exceptional service. UGI's mission revolves around leading the way in delivering reliable, safe, and efficient energy solutions for customers.

Industry

Utilities

Company size

10,000+ Employees

Headquarters location

King of Prussia, PA, US

Year founded

1882

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