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Intern Streaming Data Engineer Jobs in Raleigh, NC

... Engineer and Modeler. This role involves designing data models, building ETL/ELT pipelines, and ... streaming data pipelines. • Ability to collaborate effectively with analytics, BI, and product ...

New

Data Engineer and Modeler Category: Software Development/ Engineering Main location: United States ... Experience with event driven architectures or streaming data pipelines. . Ability to collaborate ...

New

Data Engineer

Cary, NC

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... streaming patterns. * Build and maintain data stores and indexing infrastructure that support ...

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... streaming patterns. * Build and maintain data stores and indexing infrastructure that support ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

The Data Engineer will serve as a liaison to platform user groups ensuring successful ... Data streaming technologies * Using LLMs, creating RAG, choosing vector vs graph db for embedding ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

The Data Engineer will serve as a liaison to platform user groups ensuring successful ... Data streaming technologies * Using LLMs, creating RAG, choosing vector vs graph db for embedding ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

The Data Engineer will serve as a liaison to platform user groups ensuring successful ... Data streaming technologies * Using LLMs, creating RAG, choosing vector vs graph db for embedding ...

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

Design and implement end-to-end data engineering solutions by leveraging the full suite of ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

Design and implement end-to-end data engineering solutions by leveraging the full suite of ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

Senior Data Platform Engineer

Raleigh, NC

$103K - $140K/yr

Job Summary IONNA is seeking a Senior Data Platform Engineer to own and evolve the data ... Experience building and maintaining streaming data pipelines, including schema management and ...

Senior Data Platform Engineer

Raleigh, NC

$103K - $140K/yr

Job Summary IONNA is seeking a Senior Data Platform Engineer to own and evolve the data ... Experience building and maintaining streaming data pipelines, including schema management and ...

Senior Data Platform Engineer

Raleigh, NC · On-site

$103K - $140K/yr

Job Summary IONNA is seeking a Senior Data Platform Engineer to own and evolve the data ... Experience building and maintaining streaming data pipelines, including schema management and ...

Sr. Data Engineer

Raleigh, NC · Remote

$108K - $147K/yr

Our Data Engineering team builds and maintains the operational data foundation that powers real ... streaming platforms. * Solid grounding in OLTP, Data Vault, and data warehouse architecture ...

Sr. Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Our Data Engineering team builds and maintains the operational data foundation that powers real ... streaming platforms. * Solid grounding in OLTP, Data Vault, and data warehouse architecture ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · On-site +1

$111K - $133K/yr

Tier One Technologies is seeking a Data Engineer to support our US Government client with data ... streaming sources (e.g., APIs, databases, flat files, message queues) into the Azure/Databricks ...

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Intern Streaming Data Engineer information

See Raleigh, NC salary details

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

As of Jul 8, 2026, the average hourly pay for intern streaming data engineer in Raleigh, NC is $24.71, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $28.03 per hour, depending on experience, location, and employer.

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 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 are the most commonly searched types of Streaming Data Engineer jobs in Raleigh, NC? The most popular types of Streaming Data Engineer jobs in Raleigh, NC are:
What are popular job titles related to Intern Streaming Data Engineer jobs in Raleigh, NC? For Intern Streaming Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Intern Streaming Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Intern Streaming Data Engineer jobs in Raleigh, NC are:
Data Engineer and Modeler

Data Engineer and Modeler

CGI

Durham, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


CGI rating

7.1

Company rating: 7.1 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

129th of 207 rated it services


Job description

Job Summary:
CGI is one of the largest IT and business consulting services firms in the world, and they are seeking an experienced Data Engineer and Modeler. This role involves designing data models, building ETL/ELT pipelines, and processing large datasets to deliver cloud-native data solutions on AWS.
Responsibilities:
• Design, develop, and optimize data pipelines to process large volumes of structured and unstructured data.
• Build and maintain relational data models (RDBMS) for transactional systems, operational data stores, and reporting environments.
• Work extensively with Oracle, Postgres (Aurora RDS), and Snowflake databases.
• Perform large scale data analysis, transformation, and automation using Python, including handling massive datasets.
• Develop and maintain Java based APIs and microservices for data access, ingestion, and integration.
• Implement CI/CD workflows using Jenkins, UDeploy, and container technologies such as Docker and Kubernetes.
• Design and support ETL/ELT processes, ensuring data quality, reliability, and performance across pipelines.
• Lead and execute data migration initiatives, including schema mapping, validation, reconciliation, and cutover planning.
• Build cloud native data solutions using AWS services such as RDS, S3, Lambda, Glue, and more.
• Collaborate with cross functional teams to understand data requirements and deliver scalable, high performing solutions.
• Maintain strong documentation, data governance practices, and adherence to engineering best standards.
Qualifications:
Required:
• 6 9 years of software development experience, with a strong focus on data engineering.
• Extensive experience handling and processing large volumes of data.
• Strong proficiency in RDBMS data modeling for operational and reporting systems.
• Hands on experience with Oracle, Postgres (Aurora RDS), and Snowflake.
• Proficiency in Python for large scale data analysis, transformation, and automation.
• Strong experience with Java, including building APIs and microservices.
• CI/CD and containerization experience with Jenkins, UDeploy, Docker, and Kubernetes.
• Solid understanding of ETL/ELT tools and processes.
• Experience with data migrations, including mapping, validation, and reconciliation.
• Hands on experience with AWS cloud computing and cloud native development.
• Strong communication, organizational skills, and attention to detail.
Preferred:
• Experience with distributed data processing frameworks (e.g., Spark, Flink).
• Familiarity with data warehousing concepts and dimensional modeling.
• Experience with event driven architectures or streaming data pipelines.
• Ability to collaborate effectively with analytics, BI, and product teams.
• Strong problem solving skills and ability to work in fast paced environments.
Company:
Insights you can act on. Founded in 1976, CGI is among the largest IT and business consulting services firms in the world. Founded in 1976, the company is headquartered in Montréal, CAN, with a team of 10001+ employees. The company is currently Late Stage.

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