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Intern Streaming Data Engineer Jobs in Detroit, MI

Ford Motor Company

Full Stack Data Engineer

Dearborn, MI · On-site

  • Medical

  • Dental

  • Life

  • PTO

Design, build, and scale robust batch and streaming data pipelines on Google Cloud Platform (GCP ... Infrastructure & DevOps: Maintain and enhance the platform's infrastructure using Terraform ...

IntraEdge

AI Data Engineer

Detroit, MI

$113K - $136K/yr

Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI ... Programming: Fluency in programming languages such as Python and SQL, and familiarity with others ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Data engineering, data product development and software product launches * At least three of the ... Real-Time data streaming platform like Apache Kafka, GCP Pub/Sub * Microservices architecture to ...

Domino's Pizza

Senior Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role requires deep technical knowledge, strong engineering judgment, and the ability to deliver high-impact solutions that support analytics, AI/ML, operational reporting, and streaming data ...

Whisker

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What You'll Do : We are seeking a Senior Data Engineer / Data Engineer with strong hands-on ... Develops and optimizes data workflows for batch and streaming data processing * Architects and ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What You'll Do : We are seeking a Senior Data Engineer / Data Engineer with strong hands-on ... Develops and optimizes data workflows for batch and streaming data processing * Architects and ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What You'll Do : We are seeking a Senior Data Engineer / Data Engineer with strong hands-on ... Develops and optimizes data workflows for batch and streaming data processing * Architects and ...

Domino's

Senior Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role requires deep technical knowledge, strong engineering judgment, and the ability to deliver high-impact solutions that support analytics, AI/ML, operational reporting, and streaming data ...

Domino's Corporate

Senior Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role requires deep technical knowledge, strong engineering judgment, and the ability to deliver high-impact solutions that support analytics, AI/ML, operational reporting, and streaming data ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Acquire a deep understanding of vehicle engineering problems, translating them into appropriate ... Real-Time data streaming platform like Apache Kafka, GCP Pub/Sub * Microservices architecture to ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$105K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

The Data Engineer role resides within the Ford's Electric Vehicle organization. In this role, you ... Real-Time data streaming platform like Apache Kafka, GCP Pub/Sub * Microservices architecture to ...

Ford Motor Company

Full Stack Data Engineer

Dearborn, MI · On-site

  • Medical

  • Dental

  • Life

  • PTO

Experience building scalable batch and streaming data pipelines. * Proficiency with Terraform and Infrastructure as Code practices. * Strong understanding of data warehousing principles, data ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Build scalable, distributed systems that handle high-throughput data streams and large-scale batch ... Uphold rigorous software engineering standards, including comprehensive unit/integration testing ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Build scalable, distributed systems that handle high-throughput data streams and large-scale batch ... Code Quality: Uphold rigorous software engineering standards, including comprehensive unit ...

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Build scalable, distributed systems that handle high-throughput data streams and large-scale batch ... Code Quality: Uphold rigorous software engineering standards, including comprehensive unit ...

General Motors

Data Engineering Manager

Warren, MI

$107K - $129K/yr

Architect, Design and build scalable batch, streaming, API, and event-driven data pipelines using ... Champion engineering excellence through CI/CD, Infrastructure as Code, Data Observability ...

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Showing results 1-20

All JobsIntern Streaming Data Engineer JobsIntern Streaming Data Engineer Jobs in Detroit, MI

Intern Streaming Data Engineer information

See Detroit, MI salary details

$13

$25

$38

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 Detroit, MI is $25.16, according to ZipRecruiter salary data. Most workers in this role earn between $20.48 and $28.56 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 are popular job titles related to Intern Streaming Data Engineer jobs in Detroit, MI?

For Intern Streaming Data Engineer jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Intern Streaming Data Engineer jobs in Detroit, MI look for?

The top searched job categories for Intern Streaming Data Engineer jobs in Detroit, MI are:

Intern Streaming Data Engineer jobs near you
Infographic showing various Intern Streaming Data Engineer job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $52,336 per year, or $25.2 per hour.

Senior Big Data Engineer

Pi Square Technologies LLC

Farmington Hills, MI • On-site

$54.75 - $72.50/hr

Full-time

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

Job description

Senior Big Data Engineer
Data Engineer
Owns the data pipelines that move data from operational source systems onto the data platform extraction, ingestion, transformation, orchestration, and the day-to-day operational health of those pipelines.
Also plays a role as a hands-on builder of Foundational Data Products (raw record-of-truth) and potentially Derivative Data Products (composed from upstream products).
Core skills
SQL & Python (table stakes); Scala/Java for high-throughput streaming
Pipeline build & operations: design, develop, deploy, monitor, and remediate batch and streaming pipelines that land source data on the platform; manage backfills, replays, late-arriving data, schema drift, and SLA breaches
Ingestion patterns: full-load, incremental, change-data-capture (Debezium, Fivetran, Qlik Replicate, GoldenGate), event-driven ingest, API and file-based
intake
Pipeline frameworks: dbt, Apache Spark, Apache Beam, Airflow, Dagster, Prefect
Streaming: Kafka, Kinesis, Flink, Spark Structured Streaming
Data product packaging: schema contracts (Avro/Protobuf/JSON Schema), versioning, SLAS/SLOs, data contracts, output-port design (SQL, file, API, event)
Storage formats: loeberg, Delta Lake, Hudi (open table formats are now the mesh default)
Quality & observability: Great Expectations, Soda, Monte Carlo, dbt tests, data lineage (OpenLineage)
CI/CD for data: GitOps pipelines, unit + integration tests, environment promotion
Al-adjacent vector store ingestion (pgvector, Pinecone), feature stores (Feast, Tecton), RAG-ready chunking and embedding pipelines
Mesh-specific: knowing when to build a derivative product vs. extending an existing one; consuming upstream products through governed input ports rather than reaching into source systems

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