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

Point72

Sector Analyst, MI-Data

New York, NY · On-site

... relevant internship experience * Comfort with analyzing novel data and explaining concepts to non-technical partners * Basic proficiency with technical coding/programming (SQL, Python) * Great ...

Point72

Sector Analyst, MI-Data

New York, NY

... relevant internship experience * Comfort with analyzing novel data and explaining concepts to non-technical partners * Basic proficiency with technical coding/programming (SQL, Python) * Great ...

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Data Engineer Internship information

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How much do data engineer internship jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for data engineer internship in Rutherford, NJ is $25.91, according to ZipRecruiter salary data. Most workers in this role earn between $21.06 and $29.42 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 Rutherford, NJ? The most popular types of Data Engineer jobs in Rutherford, NJ are:
What are popular job titles related to Data Engineer Internship jobs in Rutherford, NJ? For Data Engineer Internship jobs in Rutherford, NJ, the most frequently searched job titles are:
What cities near Rutherford, NJ are hiring for Data Engineer Internship jobs? Cities near Rutherford, NJ with the most Data Engineer Internship job openings:
Data Engineer Internship jobs near you
Senior Software Engineer - Data Strategy

Senior Software Engineer - Data Strategy

Bloomberg LP

New York, NY • On-site

$134K - $176K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 209 rated software companies

Job description

Senior Software Engineer - Data Strategy
Location
New York
Business Area
Engineering and CTO
Ref #
10052018
Description & Requirements
The Enterprise Product Platform (EPP) Data Strategy Group is focused on the end-to-end lifecycle of financial data. By bringing together our Data Acquisition, Data Platform, and API Platform initiatives, we build high-performance, scalable solutions that power Bloomberg's most critical enterprise products. Our mission is to enhance transparency, efficiency, and integration capabilities for Bloomberg's enterprise clients, supporting both buy-side and sell-side firms across a wide range of financial products and trading workflows.
Our team supports mission-critical workflows across multiple business areas while continuously expanding and generalizing our platforms to address new use cases. We are a collaborative, close-knit engineering organization seeking talented developers who are passionate about building scalable, resilient systems and shaping the next generation of our architecture.
Our organization is built around three core pillars:
  • Data Acquisition Platform: A robust platform for acquiring, validating, and delivering high-quality financial and analytics data. Integrated across Bloomberg systems, it enables clients to seamlessly incorporate data into their workflows through reliable, adaptable, and efficient services. We are currently building the next generation of this platform to further expand its capabilities and scale.
  • Data Platform: A highly scalable, low-latency data layer that manages hundreds of terabytes of instrument analytics and reference data. Our platform processes trillions of read and write operations daily across hundreds of machines, leveraging high-performance C++ services and distributed technologies. By providing reliable access to massive datasets, we enable product teams to build sophisticated features, support accurate reporting, and help clients make data-driven decisions.
  • API Platform: A scalable foundation for secure, high-performance APIs that power critical financial services. We provide the tools, frameworks, and governance that enable teams to build innovative products with consistency and reliability. A key component is our high-throughput data ingestion platform, which supports large-scale portfolio, transaction, pricing, and custom-data uploads through highly parallelized batch-processing pipelines.
We'll trust you to:
  • Design and build high-performance, scalable, and fault-tolerant systems that support real-time data processing and large-scale financial workflows.
  • Solve complex data engineering challenges, including frameworks for storing, retrieving, and analyzing vast datasets across Bloomberg systems.
  • Own the full software development lifecycle, from technical design through deployment, while applying best practices in testing, automation, and performance tuning.
  • Collaborate across teams to influence system architecture and optimize throughput across Data Acquisition, API, and Storage platforms.
  • Evaluate and apply technologies in distributed computing, event-driven architecture, and real-time analytics.
You'll need to have:
  • 4+ years of experience with an object-oriented programming language such as C++, Python, or Java.
  • A bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent experience.
  • Strong knowledge of data structures, algorithms, and system design principles.
  • Experience designing or maintaining high-throughput distributed systems or APIs.
  • Strong collaboration skills and the ability to thrive in a fast-paced, agile environment.
We'd love to see:
  • Experience with large-scale storage and caching technologies such as Comdb2, Redis, Cassandra, or Apache Iceberg.
  • Familiarity with messaging queues and streaming frameworks such as Kafka, RabbitMQ, or Apache Flink.
  • Experience in financial technology, including trading systems, order/execution management, or real-time analytics.
  • Contributions to large-scale distributed computing platforms or data lakehouse architectures such as Spark, Trino, or Parquet.
  • A passion for solving complex technical problems and building systems that empower other engineers.

Salary Range = 160,000 - 240,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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