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Data Engineer Internship Jobs in Philadelphia, PA

Capital One

Lead Data Engineer

Wilmington, DE

$111K - $133K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 4 years of experience in application development (Internship experience does not apply)

Capital One

Lead Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 4 years of experience in application development (Internship experience does not apply)

Capital One

Lead Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 4 years of experience in application development (Internship experience does not apply)

Capital One

Lead Data Engineer

Wilmington, DE

$111K - $133K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 4 years of experience in application development (Internship experience does not apply)

Campbell's

Data Engineer, DA&AI Co-Op

Camden, NJ

$115K - $138K/yr

Data Engineer / AI Engineer (Co-op) We are seeking a motivated and curious Data Engineer / AI ... This co-op / internship offers hands-on experience at the forefront of Generative AI and automation.

Campbell Soup Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

Data Engineer / AI Engineer (Co-op) We are seeking a motivated and curious Data Engineer / AI ... This co-op / internship offers hands-on experience at the forefront of Generative AI and automation.

Campbell's

Data Engineer, DA&AI Co-Op

Camden, NJ

$115K - $138K/yr

Data Engineer / AI Engineer (Co-op) We are seeking a motivated and curious Data Engineer / AI ... This co-op / internship offers hands-on experience at the forefront of Generative AI and automation.

Campbell's

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

Data Engineer / AI Engineer (Co-op) We are seeking a motivated and curious Data Engineer / AI ... This co-op / internship offers hands-on experience at the forefront of Generative AI and automation.

Campbell Soup Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

Data Engineer / AI Engineer (Co-op) We are seeking a motivated and curious Data Engineer / AI ... This co-op / internship offers hands-on experience at the forefront of Generative AI and automation.

Campbell Soup Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

Data Engineer / AI Engineer (Co-op) We are seeking a motivated and curious Data Engineer / AI ... This co-op / internship offers hands-on experience at the forefront of Generative AI and automation.

The Campbell's Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

Data Engineer / AI Engineer (Co-op)We are seeking a motivated and curious Data Engineer / AI ... This co-op / internship offers hands-on experience at the forefront of Generative AI and automation.

The Campbell's Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

Data Engineer / AI Engineer (Co-op)We are seeking a motivated and curious Data Engineer / AI ... This co-op / internship offers hands-on experience at the forefront of Generative AI and automation.

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All JobsData Engineer JobsData Engineer Internship JobsData Engineer Internship Jobs in Philadelphia, PA

Data Engineer Internship information

See Philadelphia, PA salary details

$13

$25

$39

How much do data engineer internship jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data engineer internship in Philadelphia, PA is $25.65, according to ZipRecruiter salary data. Most workers in this role earn between $20.87 and $29.09 per hour, depending on experience, location, and employer.

What is a data engineer internship?

A Data Engineer Internship is a temporary, entry-level role where interns gain hands-on experience in data infrastructure, ETL pipelines, and database management. Interns typically work with large datasets, assist in building data models, and collaborate with data scientists and analysts to ensure efficient data processing. They learn tools like SQL, Python, and cloud platforms while improving data quality and automation processes. This role provides valuable industry experience and prepares interns for full-time data engineering positions.

What types of projects or tasks can I expect to work on during a data engineer internship?

As a Data Engineer Intern, you can expect to assist with building and maintaining data pipelines, cleaning and transforming datasets, and supporting the integration of new data sources. You may also help optimize database performance, troubleshoot data quality issues, and collaborate with data scientists or analysts to ensure data accessibility. Interns often work on real-world projects that offer hands-on experience with tools and technologies common in the industry. This exposure not only builds your technical skills but also provides valuable insights into how data engineering supports business decision-making and analytics.

What are the key skills and qualifications needed to thrive in a data engineer internship, and why are they important?

To thrive as a Data Engineer Intern, you need a solid background in programming (especially Python or Java), SQL, and basic data management concepts, often gained through coursework in computer science, data science, or related fields. Experience with tools like SQL databases, ETL pipelines, and cloud platforms (such as AWS or Azure), as well as familiarity with big data frameworks like Hadoop or Spark, is highly valuable. Strong analytical thinking, attention to detail, and the ability to communicate technical information clearly help interns collaborate effectively within diverse teams. These skills are vital for supporting data infrastructure development, ensuring data quality, and contributing to impactful data-driven solutions.

What does a data engineer intern do?

A data engineer intern assists in designing, building, and maintaining data pipelines and infrastructure to support data analysis and storage. They often work with tools like SQL, Python, and cloud platforms, gaining experience in data processing, database management, and data warehousing under supervision.

What are the most commonly searched types of Data Engineer jobs in Philadelphia, PA?

The most popular types of Data Engineer jobs in Philadelphia, PA are:

What are popular job titles related to Data Engineer Internship jobs in Philadelphia, PA?

For Data Engineer Internship jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Data Engineer Internship jobs in Philadelphia, PA look for?

The top searched job categories for Data Engineer Internship jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Data Engineer Internship jobs?

Cities near Philadelphia, PA with the most Data Engineer Internship job openings:

Data Engineer Internship jobs near you
Infographic showing various Data Engineer Internship job openings in Philadelphia, PA as of August 2026, with employment types broken down into 21% Internship, 64% Full Time, 13% Part Time, and 2% Temporary. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution, with an average salary of $53,347 per year, or $25.6 per hour.

Senior Data Engineer (Customer Data Products)

NBME

Philadelphia, PA • On-site

$127K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 20 days ago

Job description

POSITION OVERVIEW
NBME is looking for a Data Engineer to join a highly skilled and growing team of data engineers and BI developers. This team successfully launched and enhances a data product on AWS for medical doctors. Read more .
In this role, you will use your data engineering and problem-solving skills to deliver meaningful insights to internal staff and external customers. 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, and business decision-making.
This role will apply AI-assisted engineering practices to improve development efficiency and share best practices for AI assisted engineering across the IT organization.
While this role can be designated as remote, you are offered the flexibility to select if you prefer to work primarily remotely, hybrid, or onsite. We're open to considering candidates within 50 miles of our office location in Philadelphia, PA.
Please note that onsite interviews and onboarding at our Philadelphia office may be required for this role. If applicable, advance notice will be provided to support planning.
At NBME, we continue to innovate and improve how we fulfill the evolving needs of the healthcare community. This commitment starts and ends with the people at NBME. By recruiting and empowering talented individuals from various disciplines and backgrounds, which includes professionals with diverse life experiences, abilities, and perspectives, NBME can take a well-informed, robust approach to advancing medical education and assessment for years to come.
RESPONSIBILITIES
  • Code, test, deploy, orchestrate, monitor, document, and troubleshoot cloud-based data engineering processes, feature stores, and vector databases in accordance with best practices and security standards throughout the development lifecycle.
  • Partner closely with data scientists, AI researchers, data and enterprise architects, and business stakeholders to identify, extract, clean, and format structured and unstructured data for AI/ML model training, fine-tuning, and feature extraction.
  • Lead evaluation, research, and experimentation efforts with batch and streaming data technologies, LLM data preparation frameworks, and MLOps tools to keep pace with industry innovation
  • Act as a technical lead to showcase the capabilities of emerging AI and data technologies, enabling the widespread adoption of modern data techniques across the organization.
  • Significantly contribute to the definition and refinement of processes and procedures for the data engineering practice
  • Educate and develop ETL developers on data engineering cloud-bases initiatives to enable transition to data engineer and practice
  • Assures the integrity and accuracy of the corporate data, with particular attention to data security.
  • Responsible for ensuring high data quality for Data Services, Analytics and Master Data Management.
  • Helps coordinate technical solutions, takes responsibility for designs, development, testing and delivery of solutions.
  • Build automated, scalable, test-driven data pipelines.
  • Utilize software development practices such as version control via Git, CI/CD, and release management to enhance existing CI/CD pipelines in AWS.
  • Collaborate with Data Engineers, DevOps engineers and architects on improvement opportunities for DataOps tools and frameworks.

QUALIFICATIONS
  • Bachelor's Degree
  • At least 7 years of experience in application development (Internship experience does not apply)
  • At least 4 years of experience in big data technologies
  • At least 4 years' experience with cloud computing using AWS
  • 4+ years of experience in application development including Python, SQL, Scala, or Java
  • 4+ years' experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, MySQL etc.)
  • 4+ year experience working on real-time data and streaming applications
  • 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
  • 4+ years of data warehousing experience (Redshift)
  • 6+ years of experience with UNIX/Linux including basic commands and shell scripting
  • 7+ years of experience with Agile engineering practices
  • 7+ years of experience with SQL optimization
  • 4+ years of experience with PySpark
  • 3+ year of experience with process orchestration including AirFlow, KubeFlow, AWS step functions, or Luigi

Preferred Qualifications:
  • Proven experience implementing Generative AI, LLM data preparation pipelines, and Vector Databases (e.g., Pinecone, Milvus, pgvector).
  • Strong experience building and maintaining Feature Stores for machine learning models.
  • Experience building highly scalable, secure, and production-ready APIs and Data-as-a-Service (DaaS) platforms.
  • AWS Certified Data Engineer or AWS Certified Machine Learning - Specialty certifications.
  • 3+ year of experience with Machine Learning
  • Experience with building a Data-as-a-service platform
  • Experience with building APIs

About NBME
NBME is a not-for-profit organization that specializes in the creation of assessments and learning tools for physicians and health professionals. Our mission is to advance assessment of these professionals to achieve optimal care for all, supporting the development of a highly effective, diverse and compassionate health care workforce.
Founded in 1915, NBME develops and manages the with the Federation of State Medical Boards. We offer a comprehensive portfolio of for every stage of the medical school journey and provide assessment services to various health profession organizations.
We are dedicated to advancing innovative assessment approaches through research, to the medical education and assessment communities. In 2024, we expanded our assessment capabilities to include simulation through the acquisition of .
Learn more on .
NBME's Community Collaborations and Contributions
NBME believes that a key path to meeting our mission is collaborating with and supporting our communities. Our provide resources and recognition to medical educators and researchers advancing the field of assessment throughout their careers. In addition, we invest in fee assistance, scholarships and pathway programs to aid learners and help support increased representation in health care. Headquartered in Philadelphia, NBME also gives to local organizations that advance health equity and access and positively impact social determinants of health.
Compensation we are offering for this position is at $127,337- $160,000/year. Please note that the offered rate for this position typically aligns with the minimum to midrange of this grade, but it can vary based on the successful candidate's qualifications and experience, department budget, and an internal equity review.
The NBME offers competitive salaries, excellent benefits, and a rewarding work environment. Excellent Benefits include: Healthcare, Dental, Prescription, and Vision plans; 401(k) w/match, Tuition Reimbursement Plan, Commuter Benefit: Public Transit or Parking options. Remote Friendly Workplace.
NBME is an Equal Opportunity Employer. We will consider all qualified applicants for employment without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
NBME logo

About NBME

Sourced by ZipRecruiter

Industry

Education programs administration

Company size

201 - 500 Employees

Headquarters location

Philadelphia, PA, US

Year founded

1915

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