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Data Engineer Jobs in Exton, PA (NOW HIRING)

Sr Data Engineer

Blue Bell, PA ยท On-site

$109K - $131K/yr

Job Title: Sr Data Engineer Location: Blue Bell, PA Requirement Healthcare, Medical & Pharmacy Claims Experience. The ideal candidate will be responsible for troubleshooting data issues, backend ...

Sr Data Engineer

Blue Bell, PA ยท On-site

$109K - $131K/yr

Job Title: Sr Data Engineer Location: Blue Bell, PA Requirement Healthcare, Medical & Pharmacy Claims Experience. The ideal candidate will be responsible for troubleshooting data issues, backend ...

Lead Data Engineer

Wilmington, DE ยท On-site

$111K - $133K/yr

Lead Data Engineer The Bank Tech Data, Decisioning, & Market Services Domain serves as the analytical engine of the bank, building the infrastructure that turns data into smart, fast decisions. We ...

Lead Data Engineer

Wilmington, DE

$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 ...

AVP, Lead Data Engineer

Philadelphia, PA ยท On-site

$115K - $138K/yr

By joining Chubb as Lead Data Engineer for our North America Finance & Actuarial data platform, you'll set the engineering direction for a portfolio of strategic applications - Atlas, BAR, CDW ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Big Data Engineer

Malvern, PA ยท On-site

$54.75 - $72.25/hr

Big Data Engineer Location : Malvern, PA Hybrid Duration : Initial 12 months + options to extend - Long term contract role Responsibilities * Collaborate on the Smartstream cash reconciliation ...

Sr. Data Engineer

Philadelphia, PA ยท On-site

$115K - $138K/yr

We are seeking a Senior Data Engineer to join our team and help us build the next generation of data tools for our retail and commerce loyalty platform. The ideal candidate will have a passion for ...

New

AI Data Engineer

Philadelphia, PA ยท On-site +1

$115K - $138K/yr

Mission Join the Data Science team as an AI Data Engineer responsible for building the data foundations that make enterprise AI products accurate, explainable, and scalable. This role will design and ...

AI Data Engineer

Philadelphia, PA ยท On-site

$115K - $138K/yr

Mission Join the Data Science team as an AI Data Engineer responsible for building the data foundations that make enterprise AI products accurate, explainable, and scalable. This role will design and ...

AI Data Engineer

Philadelphia, PA

$115K - $138K/yr

Mission Join the Data Science team as an AI Data Engineer responsible for building the data foundations that make enterprise AI products accurate, explainable, and scalable. This role will design and ...

Senior Data Engineer

Philadelphia, PA ยท On-site

$107K - $145K/yr

Manager, Data Engineering Employment Type: Full-Time Overview: Audacy is looking for a Senior Data Engineer to join our dynamic Data Engineering team. In this role, you'll be at the forefront of ...

Showing results 41-60

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.

Sr Data Engineer

SmartIPlace

Blue Bell, PA โ€ข On-site

$109K - $131K/yr

Contractor

Re-posted 6 days ago


Job description

Hi,

I hope you are doing well.

Please find the job details below:

Job Title: Sr Data Engineer
Location: Blue Bell, PA

Requirement
Healthcare, Medical & Pharmacy Claims Experience.
The ideal candidate will be responsible for troubleshooting data issues, backend support UI development, which includes but is not limited to managing data implementations, data integrations, data production, data quality, and data security.
Responsibilities:
Create, maintain and execute complex SQL queries for data management and data validation. Demonstrates subject matter expertise in relation to data mapping, transformations, validations, and ingestion workflows.
Monitor data workflows and ensure data quality, consistency, and reliability.
Design and implement scalable and secure data architectures to support new and existing applications:. Perform production solutions and services configurations as needed.
Serve as a change agent to identify organizational improvements and make recommendations to improve business processes. Collaborate with cross-functional teams including technical product owners, analysts, and software engineers.
Create and maintain SOP documents.
Participate in code reviews, sprint planning, and architectural discussions.
Mentor junior engineers and promote best practices in data engineering. Participate in meetings with clients and/or stakeholders.
Completes work as assigned. Provide after-hours or weekend support as needed.
Demonstrate an ability to work independently.
Adhere to all the industry level and organization level compliance rules and regulations to maintain data integrity.
Complete task assignments using department ticketing/productivity systems within assigned deadline.
Achieve organizational and individual goals as identified in performance reviews and goal setting exercises.
This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required.
This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.
Qualifications:
Bachelor’s degree in Computer Science, Information Technology or equivalent work experience. 8+ years of experience in data engineering or a related role.
8+ years of data analysis. Preferably in the Healthcare industry of enrollment, medical claims and/or pharmacy claims.
8+ years hands-on work in SQL and/or PL/SQL. Familiarity designing, implementing, and optimizing data models in NoSQL databases (e.g., MongoDB, Cassandra, neo4j) to support high-volume, low-latency workloads. Working knowledge of big data/cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake etc.) is preferred.
Expertise in Microsoft Office Suite applications PowerPoint, Word, Excel and Outlook.
Flexible work schedule.
Experience with project management tools like JIRA. Strong understanding of agile development practices, preferably SAFe. Strong analytical skills. Excellent verbal, listening and written communication skills.
Cognitive/Mental Requirements:
Ability to multitask and prioritize projects to meet scheduled deadlines and tight turnaround times.
Ability to work well independently or in a team environment.
Communicating with others to exchange information.
Assessing the accuracy, neatness and thoroughness of the work assigned.
Working Conditions and Physical Requirements:
Remaining in a stationary position, often standing or sitting for prolonged periods.
Repeating motions that may include the wrists, hands, and/or fingers.
No adverse environmental conditions expected. Must be able to provide a dedicated, secure work area.
Must be able to provide high-speed internet access / connectivity and office setup and maintenance.

Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

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