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Intern Streaming Data Engineer Jobs in Detroit, MI

Ford Motor Company

Data Anchor

Dearborn, MI · On-site

Data Engineering & IIoT Pipelines: Designing factory data standards streamed through Kafka and MQTT for IoT telemetry. * Data Anchoring & Strategy: Acting as the technical lead for data initiatives ...

HTC Global Services

Senior Data Engineer

Dearborn, MI · On-site

$97K - $132K/yr

... data lakes, and streaming platforms. * Develop, maintain, and optimize ETL/ELT pipelines for ... Apply modern software engineering practices, including test-driven development, continuous ...

Ford Motor Company

Connected Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Extract and analyze information from connected vehicle data streams to identify early-stage DTCs ... Bachelor's Degree in Engineering. * 3+ years of experience in automotive engineering, quality ...

Stefanini

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

... and streaming platforms.Lead the creation, maintenance, and optimization of advanced ETL/ELT ... data engineering or a related role, with a significant focus on large-scale data systems.Expert ...

Deloitte

Lead Forward Deployed Engineer - AWS

Detroit, MI

$101K - $133K/yr

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 ...

Deloitte

Senior Forward Deployed Engineer- AWS

Detroit, MI

$103K - $142K/yr

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 ...

Deloitte

Forward Deployed Engineer- AWS

Detroit, MI

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 ...

Aampower

Integration Specialist

Detroit, MI · On-site

Build and maintain real-time streaming data pipelines using platforms such as Apache Kafka ... Data Platforms & Database Engineering * Work with modern cloud data platforms such as Snowflake ...

Ford Motor Company

Data Anchor

Dearborn, MI · On-site

$85K - $192K/yr

Data Engineering & IIoT Pipelines: Designing factory data standards streamed through Kafka and MQTT for IoT telemetry. * Data Anchoring & Strategy: Acting as the technical lead for data initiatives ...

Ford Motor Company

Senior Data Engineer

Dearborn, MI · On-site

$128K - $184K/yr

Senior Data Engineer - positions offered by Ford Motor Credit Company LLC (Dearborn, Michigan ... Develop exceptional analytical data products using both streaming and batch ingestion patterns on ...

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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.

Data Anchor

Ford Motor Company

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 5 days ago

Job description


Join Ford's mission to modernize automotive manufacturing through innovative data science, intelligent data pipelines, and AI/ML solutions. As a Data Anchor and AI/ML Engineer, you will be at the intersection of the digital and physical-architecting and deploying cutting-edge machine learning models and robust data ecosystems that bring predictive analytics, automation, and intelligence to the factory floor. You will help build the data platforms that power our plants, enabling real-time insights, optimized vehicle scheduling, and resilient operations that scale with the future of mobility.
This is a great opportunity to drive the delivery of key enterprise objectives in building Ford's flagship products. In this role, you will act as a technical anchor, working alongside a unique blend of software engineers, DevOps, automation, controls, and manufacturing business personnel. You will be responsible for ideating, building, and scaling billion-dollar data-driven ideas-leveraging streaming IoT telemetry, massive data lakes, and cutting-edge Generative AI-for the manufacturing of iconic Ford products. This is a rare opportunity to put your signature on how Ford uses data and AI to manufacture vehicles.
Responsibilities
  • AI/ML & Generative AI: Architecting, developing, and deploying data leveraged through LLM models and toolsets such as Gemini Enterprise to build advanced generative AI solutions.
  • Data Engineering & IIoT Pipelines: Designing factory data standards streamed through Kafka and MQTT for IoT telemetry.
  • Data Anchoring & Strategy: Acting as the technical lead for data initiatives, defining data architecture standards, mentoring team members, and ensuring alignment with enterprise data strategies across hybrid environments.
  • Cloud & Big Data Infrastructure: Designing and maintaining robust data architectures with traditional SQL, BigQuery for enterprise data warehousing, MongoDB for flexible NoSQL document storage, and Hadoop ecosystems for distributed big data processing.
  • Data Modernization: Leading the migration and integration path from legacy on-premise systems (including legacy Hadoop clusters) to modern, cloud-native data platforms on GCP.
  • Domain Expertise: Gaining a deep understanding of the core functionality of Industrial Systems to drive data-driven optimizations and predictive modeling.
  • Model & Data Monitoring: Identifying and implementing monitoring solutions for data drift, model performance, and pipeline health using tools like Dynatrace, Splunk, and native cloud monitoring.

Qualifications
  • Education: Master's degree in Data Science, Computer Science, Computer Engineering, Statistics, or a related highly quantitative field.
  • Experience: 5+ years of combined experience in Data Science, Data Engineering, and deploying AI/ML models into production environments.
  • Technical Skills:
    • Strong proficiency in programming languages for data and ML, specifically Python and SQL.
    • Deep expertise in big data processing frameworks (e.g., Hadoop, Apache Spark, Kafka).
    • Hands-on experience with streaming data and Industrial IoT protocols, specifically MQTT.
    • Advanced database experience across relational and non-relational systems, including deep knowledge of BigQuery.
    • Expertise in cloud platforms (GCP preferred) and leveraging advanced AI services like Gemini Enterprise and Vertex AI.
    • Exposure to machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and predictive modeling techniques.
    • Experience exposing ML models via RESTful APIs or microservices.
  • Soft Skills:
    • Proven ability to act as a "Data Anchor," guiding technical architecture and mentoring junior data scientists/engineers.
    • Excellent communication, interpersonal, and presentation skills, with the ability to translate complex concepts to non-technical business stakeholders.
    • Comfortable interacting with global plant IT and business customers to clarify needs and define data requirements.
    • A quick learner, adaptable to changing environments, and highly effective within a diverse global team.

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
  • Immediate medical, dental, vision and prescription drug coverage
  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
  • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
  • Vehicle discount program for employees and family members and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year's Day
  • Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here: https://fordcareers.co/GSR
This position ranges from salary grade 6-8 and ranges from $85,400-$192,900.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
Visa sponsorship is NOT available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
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About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

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