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Intern Streaming Data Engineer Jobs in Wisconsin

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

Exposure to real-time or streaming data architectures * Knowledge of DevOps / CI-CD practices for data platforms * AWS certifications (e.g., AWS Certified Data Analytics - Specialty , Solutions ...

IT/OT Data Engineer

Racine, WI · On-site

$107K - $128K/yr

Pipeline Engineering (Batch & Streaming) Design, implement, and operate reliable batch and ... Bachelor's Degree Data Engineering or Computer Science * 3-5 years of data engineering and/or ...

Senior Data Engineer

Menomonee Falls, WI

$106K - $144K/yr

Design, build and maintain batch, streaming and real-time Artificial Intelligence (AI) feature pipelines to extract data from diverse source systems and producers (Application Programming Interfaces ...

Senior Data Engineer (Remote)

Menomonee Falls, WI · Remote

$123K - $162K/yr

Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache ... Collaborate with stakeholders, data scientists, and full stack engineers to deliver trusted ...

Senior AI Context Engineer

Wauwatosa, WI · Hybrid

$134K - $179K/yr

Engineer scalable batch and real-time streaming data pipelines in a modern cloud environment (GCP preferred). * Collaborate with AI/ML teams to design reliable grounding strategies for AI ...

Senior AI Context Engineer

Wauwatosa, WI · Hybrid

$134K - $179K/yr

Engineer scalable batch and real-time streaming data pipelines in a modern cloud environment (GCP preferred). * Collaborate with AI/ML teams to design reliable grounding strategies for AI ...

Data Engineer II

Green Bay, WI · On-site

$111K - $133K/yr

... with stream-processing systems preferred • Knowledge of Data Lifecycle Management processes ... Engineer, AWS Data Analytics, Cloudera CCP) • Excellent communication skills • Able to work ...

Senior Data Engineer - IGEN

Appleton, WI · On-site

$103K - $140K/yr

... batch, and streaming patterns where appropriate. * Establishes and maintains transformation ... Mentors Data Engineers - through code review, architectural pairing, and knowledge sharing - and ...

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

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Showing results 1-20

Intern Streaming Data Engineer information

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 popular job titles related to Intern Streaming Data Engineer jobs in Wisconsin? For Intern Streaming Data Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Intern Streaming Data Engineer jobs in Wisconsin look for? The top searched job categories for Intern Streaming Data Engineer jobs in Wisconsin are:
Infographic showing various Intern Streaming Data Engineer job openings in Wisconsin as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

AWS Data Architect

Princeton IT Services

Neenah, WI • On-site

$64.50 - $82.75/hr

Contractor

Posted 25 days ago


Job description

Job Title: AWS Data Architect

Location: Neenah, WI

Job type: Contract

Position Overview

We are seeking a highly skilled AWS Data Architect to design, build, and optimize cloud-based data platforms that enable scalable analytics and business intelligence. The ideal candidate will bring deep expertise in AWS cloud services, data modeling, data lakes, ETL/ELT pipelines, and big data ecosystems, and will work closely with engineering and business teams to deliver secure, high-performance data solutions.

Key Responsibilities

  • Design and implement end-to-end data architectures on AWS, including data lakes, data warehouses, and streaming solutions
  • Define data ingestion, transformation, and storage strategies using AWS-native services
  • Architect and oversee ETL/ELT pipelines ensuring reliable, secure, and efficient data flow
  • Collaborate with data engineers, analysts, and business stakeholders to translate requirements into scalable data solutions
  • Establish and enforce data governance, security, and compliance frameworks following AWS best practices
  • Optimize data platforms for performance, scalability, and cost efficiency
  • Lead and support data migration initiatives from on-premises or other cloud platforms to AWS
  • Provide technical leadership, guidance, and mentorship to data engineering teams
  • Document architectures, standards, and best practices

Required Skills & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
  • 7+ years of experience in data architecture, data engineering, or cloud architecture
  • Strong hands-on expertise with AWS services, including:

Storage & Compute:

  • Amazon S3, EC2, Lambda, ECS, EKS

Data Processing & Orchestration:

  • AWS Glue, EMR, Kinesis, Step Functions

Analytics & BI:

  • Amazon Redshift, Athena, QuickSight

Security & Governance:

  • IAM, KMS, Lake Formation
  • Proficiency in SQL and Python
  • Strong experience with ETL frameworks and data pipeline design
  • Solid understanding of data modeling techniques (3NF, Dimensional Modeling, Data Vault)
  • Familiarity with data governance, metadata management, and data quality practices
  • Excellent communication and stakeholder management skills

Preferred Qualifications

  • Experience with large-scale enterprise data platforms
  • Exposure to real-time or streaming data architectures
  • Knowledge of DevOps / CI-CD practices for data platforms
  • AWS certifications (e.g., AWS Certified Data Analytics – Specialty, Solutions Architect)