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Associate Data Engineer Jobs in Exton, PA (NOW HIRING)

Pwc

Data Engineer - Senior Manager

Philadelphia, PA · On-site

$124K - $280K/yr

... Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data ...

Apex Systems

Fabric Data Engineer

Wayne, PA · On-site

$47.75 - $65.50/hr

Fabric Data Engineer Associate) certification is an asset. Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you ...

Sallie Mae

Senior Associate, Data Analytics

Newark, DE · On-site

What You'll Contribute As the Senior Associate, Data Analytics, you will support our analytics ... Experience with SQL, Python, R, or other programming languages commonly used in analytics. * Strong ...

Pwc

Data Strategy-Manager

Philadelphia, PA · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

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How much do associate data engineer jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for associate data engineer in Exton, PA is $18.08, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $19.28 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

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 Associate Data Engineer jobs in Exton, PA?

For Associate Data Engineer jobs in Exton, PA, the most frequently searched job titles are:

What job categories do people searching Associate Data Engineer jobs in Exton, PA look for?

The top searched job categories for Associate Data Engineer jobs in Exton, PA are:

What cities near Exton, PA are hiring for Associate Data Engineer jobs?

Cities near Exton, PA with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you

Senior Data Engineer, AI Value Realization

Philadelphia, PA • On-site

Penn Medicine

7.6

Company rating: 7.6 out of 10

Based on 352 frontline employees who took The Breakroom Quiz

190th of 895 rated healthcare providers

People enjoy working here

Good employer

Recommended by students

Learn more about Penn Medicineexternal

$107K - $145K/yr

Other

Posted yesterday

New

Job description

Description
Penn Medicine is dedicated to our tripartite mission of providing the highest level of care to patients, conducting innovative research, and educating future leaders in the field of medicine. Working for this leading academic medical center means collaboration with top clinical, technical and business professionals across all disciplines.
Today at Penn Medicine, someone will make a breakthrough. Someone will heal a heart, deliver hopeful news, and give comfort and reassurance. Our employees shape our future each day. Are you living your life's work?
  • Entity: Corporate Services
  • Department: PennDNA Data Management and Ops
  • Location: Remote based out of 3535 Market St
  • Hours: 8hr Days

Summary:
This Senior Data Engineer role will be a key contributor to Penn Medicine's efforts to measure and demonstrate the real-world impact of AI-enabled clinical technologies, including ambient listening and other provider workflow interventions. The individual will design and develop scalable data products, analytical datasets, and measurement frameworks that enable the organization to evaluate how these technologies influence clinical, operational, provider, and patient outcomes.
Working closely with clinical, operational, analytics, and informatics stakeholders, this role will build data engineering solutions that support the development of metrics and models focused on outcomes such as provider satisfaction, reduction in after-hours documentation ("pajama time"), documentation and coding quality, patient satisfaction, care delivery efficiency, and broader health outcomes. The successful candidate will help establish trusted, scalable data foundations that enable rigorous evaluation of AI interventions and support data-driven decision making across the health system.
Responsibilities:
  • Data Integration and Processing: Design and architect scalable and reliable data pipelines to ingest, process, and transform large volumes of healthcare data from diverse sources, including electronic health records (EHR), clinical systems, research databases, and external data feeds.
  • ETL/ELT Development: Build and optimize ETL/ELT processes and work within Cloud technology such as Azure and Databricks to ensure efficient data extraction, transformation, and loading while maintaining data quality, consistency, and integrity. Collaborate with a variety of stakeholders across the organization to understand data requirements and translate them into effective ETL/ELT solutions that meet organizational goals.
  • Cloud Infrastructure and Technologies: Implement and maintain cloud-based data platforms and services, leveraging technologies such as AWS, Azure, or Databricks. Design and deploy data solutions using cloud-native services, such as Azure SQL Database, to support advanced analytics, machine learning, and data visualization initiatives.
  • Data Governance and Security: Enforce data governance policies, standards, and procedures to ensure compliance with regulatory requirements (e.g., HIPAA, GDPR) and organizational data security policies. Participate in implementation of metric standards, access controls, encryption, and auditing mechanisms to protect sensitive healthcare data and ensure data privacy and confidentiality.
  • Performance Monitoring: Monitor performance of data pipelines ETL/ELT processes, databases and data warehouses, troubleshoot issues, and implement optimizations to improve efficiency, reliability, and scalability.
  • Collaboration: Collaborate with cross-functional teams to define project requirements and develop solutions that meet organizational needs. Provide technical leadership and mentorship to junior data engineers and associate data engineers, fostering a culture of continuous learning and innovation within the data engineering team.
  • Continuous Improvement: Demonstrate a commitment to continuous learning and professional development. Stay current with industry trends, best practices, and emerging technologies in data engineering, ELT/ETL processes and data transformation. Look for opportunities to optimize the team's processes and workflows.
  • Performs duties in accordance with Penn Medicine and entity values, policies, and procedures.
  • Other duties as assigned to support the unit, department, entity, and health system organization.

Credentials:
  • Epic Clarity Data Model (must be completed within 6 months of start date

Education or Equivalent Experience:
  • Bachelor's degree in Computer Science, Information Systems, or related field is required.
  • 3+ years of experience in data engineering, database management, or related roles, with significant experience managing work is required.
  • Proven track record of leading and executing moderately complex projects with minimal oversight is required.

We believe that the best care for our patients starts with the best care for our employees. Our employee benefits programs help our employees get healthy and stay healthy. We offer a comprehensive compensation and benefits program that includes one of the finest prepaid tuition assistance programs in the region. Penn Medicine employees are actively engaged and committed to our mission. Together we will continue to make medical advances that help people live longer, healthier lives.
Live Your Life's Work
We are an Equal Opportunity employer. Candidates are considered for employment without regard to race, ethnicity, color, sex, sexual orientation, gender identity, religion, national origin, ancestry, age, disability, marital status, familial status, genetic information, domestic or sexual violence victim status, citizenship status, military status, status as a protected veteran or any other status protected by applicable law.

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