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Data Engineer Internship Jobs in Edison, NJ (NOW HIRING)

The Opportunity Octaura offers exciting summer internship opportunities, especially for those ... We are seeking motivated and enthusiastic summer interns to join our data engineering team. An ...

An internship at Octaura provides an opportunity to acquire hands-on experience while contributing to meaningful projects that support our organization's goals. You will gain actionable skills and ...

Agentic AI Engineer

Edison, NJ · On-site

$116K - $139K/yr

... or internship experience in machine learning, AI, or data-driven projects. • Solid understanding of algorithms, data structures, and machine learning concepts. • Experience with data ...

In this co-op/internship, you'll learn about empowering analytics with AI - a full stack experience ... Background in analytics, data, data engineering or a tech adjacent role. We are looking for a full ...

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Data Engineer Internship information

See Edison, NJ salary details

$13

$26

$40

How much do data engineer internship jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for data engineer internship in Edison, NJ is $26.31, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $29.86 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Engineer Internship position, 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 is a Data Engineer Internship job?

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 most commonly searched types of Data Engineer jobs in Edison, NJ? The most popular types of Data Engineer jobs in Edison, NJ are:
What job categories do people searching Data Engineer Internship jobs in Edison, NJ look for? The top searched job categories for Data Engineer Internship jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Data Engineer Internship jobs? Cities near Edison, NJ with the most Data Engineer Internship job openings:
Infographic showing various Data Engineer Internship job openings in Edison, NJ as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 13% Part Time, and 8% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $54,730 per year, or $26.3 per hour.
Senior Manager, Data Engineer, Clinical Operations

Senior Manager, Data Engineer, Clinical Operations

Bristol Myers Squibb

Princeton, NJ

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Bristol Myers Squibb rating

8.2

Company rating: 8.2 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

31st of 86 rated pharmaceutical


Job description

Working with Us
Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.

Position Summary:

As aSenior Manager, Data Engineer, you will play a vital role in supporting the broader Data Engineering community to deliver cutting-edge data and analytics platforms for ourGlobal Drug Development (GDD) Patient & Site engagement and Feasibility & Forecasting domain.

We seek a candidate who excels at creating innovative, reliable, secure, and easy-to-use data ecosystems that support the fulldata product lifecycle- including ingesting, storing, processing, governing, and interacting with data.

You will collaborate closely with BI&T partners, business analysts, and data engineers, as well asClinical Operations specialists, Trial Management professionals, and other domain experts to support various data-driven initiatives and enhance the overall BMS data ecosystem. Additionally, you will be expected to leverageGenerative AI (GenAI),Databricks, andsemantic technologiesto drive innovation and efficiency within our data platforms.

Key Responsibilities:

  • Support and contribute to cross-functional teams for allAI and Data initiativesacross Clinical Trial Operations product lines, helping drive critical programs forward in a lean, high-impact environment.

  • Develop and enhance data solutions toaccelerate data usage across clinical R&D, ensuring robustness, interoperability with consumer applications, and scalability.

  • Collaborate withBI&T partners, clinical study teams, Clinical trial analysts, trial managers, clinical operations leads, domain experts, and cross-functional leaders in data engineering, data product teams, and data operations to support effective adoption of our Data Platform.

  • Partner with business and data product owners to deliver solutions fordata product development, standardization, testing, lineage, meeting latency requirements, and ensuring access governance across clinical trial data assets.

  • Optimize the data platform forperformance, scalability, interoperability, availability, and cost-effectivenessusing techniques such as cloud-native parallel processing,Databricks Delta Lake, caching, and partitioning.

  • UtilizeDatabricks Unity Catalogto enforce data governance, manage metadata, and ensure end-to-end data lineage across clinical trial data products.

  • Contribute to the development ofself-service data discovery solutions, fostering findability, accessibility, and reusability of clinical trial operational data assets.

  • Maintaindocumentation of processes, structures, and knowledge sharing; deliver strong technical recommendations and execute solutions effectively across the enterprise.

  • Build and deployGenAI-powered and NLP-driven applicationsthat deliver measurable outcomes across clinical trial operations, including efficiency gains, trial timeline acceleration, risk mitigation, and compliance automation.

  • Collaborate with data product owners, engineers, and data scientists to develop and operationalizecloud-based GenAI and LLM-powered applications, utilizing techniques such asRAG, fine-tuning, and vector embeddingsto deliver high-quality data discovery and consumption features for clinical operations workflows.

  • Stay current on technology trends inGenAI, RAG, semantic search, Databricks, cloud orchestration, and containerization; apply emerging best practices to optimize platform performance, scalability, and cost-effectiveness.

  • Provide guidance and mentorship to junior analysts, interns, and vendor resources onDatabricks, technical best practices, and business alignment, fostering a culture of continuous learning and improvement.

Qualifications & Experience:

  • 7+ yearsof cross-domain experience inData Engineering, Analytics, and AI/ML, with proven hands-on experience implementing and operating data capabilities and solutions in a cloud environment.

  • Strongstakeholder engagement and communication skills; ability to influence and drive adoption of data solutions across functional teams.

  • Domain knowledge across Clinical Trail Delivery, including feasibility, site selection, forecasting and trial execution is a strong plus.

  • Hands-on expertise with Databricks, including Delta Lake, Unity Catalog, Databricks Workflows, Mosaic AI, and MLflow; Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional) is a strong plus.

  • Demonstrated expertise incloud-native data platforms, ETL/ELT pipeline design, data modeling, and semantic analyticsfor large-scale, complex datasets, with hands-on DevOps experience.

  • Strong proficiency inPython, SQL, Spark (including PySpark on Databricks), and GenAI frameworks; hands-on experience withLLM architectures, RAG, prompt engineering, and agentic frameworks.

  • Proficiency in creating and maintaining optimaldata pipeline architecturefor large, complex datasets, including semantic modeling within a domain - preferably life sciences or clinical trial operations.

  • Demonstrated experience deliveringproduction-grade GenAI applications, predictive models, and self-service analytics tools supporting critical clinical business functions.

  • Working knowledge ofLLM and GenAI-driven approaches, including RAG, Chain-of-Thought, fine-tuning, vectorization, agentic frameworks, and prompt engineering techniques for improving the accuracy of LLM-based responses.

  • Commitment toengineering excellence, documentation, and process improvement; functional knowledge of Life Sciences R&D and clinical trial operations is highly preferred.

  • Familiarity withclinical trial management systems(e.g., Veeva Vault, Medidata Rave, IRT) and their underlying data structures.

If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Compensation Overview:

Princeton - NJ - US: $153,770 - $186,327

The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.

Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:

  • Health Coverage: Medical, pharmacy, dental, and vision care.

  • Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).

  • Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.

Work-life benefits include:

Paid Time Off

  • US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)

  • Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays

Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.

All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

*Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.

Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as "Transforming patients' lives through science ", every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information:https://careers.bms.com/california-residents/

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.

R1604108 : Senior Manager, Data Engineer, Clinical Operations

What Bristol Myers Squibb employees say

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Get the full story on Breakroom


Bristol-Myers Squibb logo

About Bristol-Myers Squibb

Sourced by ZipRecruiter

Bristol-Myers Squibb is a world-renowned global Biopharmaceutical company headquartered in New York, NY, US. Established in 1887, the company has more than 130 years’ worth of history dedicated to discovering, developing, and delivering innovative medicines that help patients prevail over serious diseases. The company operates in the healthcare industry and thrives on providing a range of pharmaceutical products and services for various medical fields, like oncology, cardiovascular diseases, and immunoscience. Notably, Bristol-Myers Squibb is known for its commitment to relentless research and innovative drug development, which has led to breakthroughs like Opdivo, one of the first immunotherapies.

Industry

Scientific research and development services and pharmaceutical and medicine manufacturing

Company size

10,000+ Employees

Headquarters location

New York, NY, US