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Intern Streaming Data Engineer Jobs in Hopatcong, NJ

Data Modeler

Berkeley Heights, NJ ยท On-site

$57.25 - $74/hr

Establish data governance standards, metadata management, and data lineage for both event streams and historical data stores. Performance Optimization: Collaborate with data engineers to tune data ...

BIG DATA ENGINEER

Berkeley Heights, NJ ยท On-site

$58.25 - $77/hr

Required Skills & Qualifications: โ€ข Strong expertise in Apache Spark (Core, SQL, Streaming). โ€ข ... data engineering projects. Behavioral Skills: โ€ข Good Communication skills โ€ข 5 days Work from ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with API-based integrations and streaming data solutions. * Prior experience as a ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with API-based integrations and streaming data solutions. * Prior experience as a ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with API-based integrations and streaming data solutions. * Prior experience as a ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with API-based integrations and streaming data solutions. * Prior experience as a ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with API-based integrations and streaming data solutions. * Prior experience as a ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with API-based integrations and streaming data solutions. * Prior experience as a ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with API-based integrations and streaming data solutions. * Prior experience as a ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with API-based integrations and streaming data solutions. * Prior experience as a ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with API-based integrations and streaming data solutions. * Prior experience as a ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with API-based integrations and streaming data solutions. * Prior experience as a ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with API-based integrations and streaming data solutions. * Prior experience as a ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with API-based integrations and streaming data solutions. * Prior experience as a ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with API-based integrations and streaming data solutions. * Prior experience as a ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with API-based integrations and streaming data solutions. * Prior experience as a ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with API-based integrations and streaming data solutions. * Prior experience as a ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with API-based integrations and streaming data solutions. * Prior experience as a ...

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Intern Streaming Data Engineer information

See Hopatcong, NJ salary details

$12

$23

$36

How much do intern streaming data engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for intern streaming data engineer in Hopatcong, NJ is $23.93, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $27.16 per hour, depending on experience, location, and employer.

What does an intern streaming data engineer do?

An Intern Streaming Data Engineer assists in designing, developing, and maintaining systems that process real-time data streams. They typically work with technologies like Apache Kafka, Apache Flink, or Spark Streaming to collect, process, and analyze data as it arrives. Their responsibilities may include writing code, troubleshooting data pipelines, and collaborating with senior engineers to ensure data flows efficiently. The role is ideal for students or recent graduates looking to gain hands-on experience with big data and real-time analytics.

What types of projects or tasks can an intern streaming data engineer expect to work on during their internship?

As an Intern Streaming Data Engineer, you can expect to work on projects involving the development, testing, and optimization of real-time data pipelines. Typical tasks may include assisting with the integration of streaming platforms like Apache Kafka or AWS Kinesis, writing and debugging code to process large volumes of incoming data, and collaborating with senior engineers to ensure data quality and reliability. You'll often work within a team of data engineers and analysts, gaining hands-on experience with the latest big data tools and contributing to solutions that support real-time analytics and business decision-making.

What are the key skills and qualifications needed to thrive as an intern streaming data engineer, and why are they important?

To thrive as an Intern Streaming Data Engineer, you typically need foundational knowledge in computer science, data engineering concepts, and familiarity with real-time data processing. Experience with tools like Apache Kafka, Apache Flink, or Spark Streaming, and programming languages such as Python or Java, is often preferred. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities help set candidates apart. These skills and qualifications are crucial for efficiently building, maintaining, and troubleshooting streaming data pipelines in dynamic data-driven environments.

What is the difference between Intern Streaming Data Engineer vs Intern Data Analyst?

AspectIntern Streaming Data EngineerIntern Data Analyst
Required SkillsKnowledge of streaming platforms (e.g., Kafka, Spark Streaming), programming (Python, Java), data pipeline developmentData analysis, SQL, Excel, basic statistical skills
Work EnvironmentDeveloping real-time data pipelines, working with big data toolsAnalyzing stored data, generating reports and insights
Industry UsageTech, finance, e-commerce companies focusing on real-time data processingMarketing, business intelligence, research departments

The Intern Streaming Data Engineer focuses on building and maintaining real-time data pipelines using streaming technologies, requiring programming and big data skills. In contrast, the Intern Data Analyst primarily analyzes stored data to generate insights, emphasizing statistical and reporting skills. Both roles are common in data-driven industries but serve different functions within data management and analysis.

What cities near Hopatcong, NJ are hiring for Intern Streaming Data Engineer jobs?

Cities near Hopatcong, NJ with the most Intern Streaming Data Engineer job openings:

Infographic showing various Intern Streaming Data Engineer job openings in Hopatcong, NJ as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $49,767 per year, or $23.9 per hour.

Data Modeler

MphasiS Corporation USA

Berkeley Heights, NJ โ€ข On-site

$57.25 - $74/hr

Other

Re-posted 20 days ago


Job description

Data Modeler

Berkeley Heights, NJ (5days Onsite)

Job Description
Skill Role Grade Location
Kafka, Flink, MongoDB, Spark Data Modeler
Role Overview
We are seeking a Big Data Modeler to design and optimize data schemas across our modern streaming and NoSQL ecosystem. You will bridge the gap between complex business requirements and high-performance technical execution, ensuring our platforms for real-time ingestion, stream processing, and document storage are scalable and governed

Responsibility:
Stream & Batch Modeling: Design conceptual, logical, and physical data models for streaming data platforms using Kafka and Flink
Distributed Processing Architecture: Architect data structures optimized for Spark batch processing and in-memory event streaming, ensuring data integrity and low latency.
NoSQL Data Modeling: Design flexible schemas, indexes, and aggregation pipelines in MongoDB to support high-speed, unstructured, and semi-structured application data.
Data Governance & Metadata: Establish data governance standards, metadata management, and data lineage for both event streams and historical data stores.
Performance Optimization: Collaborate with data engineers to tune data models for high-throughput, high-volume workloads and distributed computing constraints
Cross-functional Collaboration: Partner with software developers, data scientists, and business analysts to translate business use cases into scalable data strategies.

Qualification:
Experience: 5 to 8+ years of experience in data modeling, data warehousing, or big data architecture.
Core Technologies: Proven ability to model, design, and work with distributed data ecosystems:
Kafka: Designing event-driven architecture, topics, schemas, and event payloads.
Flink & Spark: Structuring data for stateful stream processing and large-scale batch ETL pipelines.
MongoDB: Document modeling, indexing strategies, and querying nested data structures.
Programming: Proficiency in SQL along with coding experience in Python, Java, or Scala.
Modeling Tools: Familiarity with modern data modeling and visualization tools (e.g., Hackolade, erwin).

Education: Bachelor s degree in Computer Science, Data Engineering, Information Technology, or a related field
Behavioral Skills:
Good Communication skills
Flexible to rotational shifts, 5 days WFO
Team Player
Ability to work in a changing environment
Strong problem solving and analytical skills
Ability to work independently or within a team
Manage day-to-day challenges and communicate developmental risks with the technical team