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Airflow Jobs in Michigan (NOW HIRING)

Iron Mountain Foundry

Environmental Repairer

Kingsford, MI · On-site

$20.50 - $22.25/hr

Working in the environmental section of Maintenance Dept. Inspect and perform basic repairs and preventive maintenance of plant machinery and equipment, specifically the ductwork and airflow ...

General Motors

Automation Controls Engineer

Flint, MI · On-site

$85 - $110/hr

Support and stabilize PID‑controlled processes, including temperature, airflow, pressure, and flow loops, in coordination with operations. * Perform root‑cause analysis on recurring equipment or ...

HTC Global Services Inc

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

Work with QlikView, Cloud Functions, Data Fusion, Astronomer, and Apache Airflow. Required Qualifications Bachelor's or Master's degree. 4+ years of Data Engineering experience. Experience with Data ...

HTC Global Services

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

Work with QlikView, Cloud Functions, Data Fusion, Astronomer, and Apache Airflow. Required Qualifications * Bachelor's or Master's degree. * 4+ years of Data Engineering experience. * Experience with ...

HTC Global Services Inc

Data & AI Architect

Grand Rapids, MI · On-site

$61.25 - $78.75/hr

Architect ETL/ELT pipelines using dbt, Azure Data Factory, Apache Airflow, Informatica, Talend, and Fivetran. Establish reusable integration patterns and frameworks. Data Modeling Design star schema ...

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Airflow information

See Michigan salary details

$19.2K

$130.3K

$167.8K

How much do airflow jobs pay per year?

As of Aug 23, 2026, the average yearly pay for airflow in Michigan is $130,342.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $145,600.00 per year, depending on experience, location, and employer.

What is an Airflow job?

An Airflow job typically involves designing, developing, and maintaining workflows using Apache Airflow, an open-source workflow automation tool. Professionals in this role create data pipelines, schedule tasks, and optimize workflow execution for reliability and efficiency. They work with data engineering teams to ensure smooth data processing and integration across various systems. Knowledge of Python, DAG creation, and troubleshooting Airflow issues is essential for success in this role.

What are the typical responsibilities of someone working with Apache Airflow?

Professionals working with Apache Airflow are primarily responsible for designing, developing, and maintaining data pipelines that automate the flow of information between systems. Their daily tasks often include writing and optimizing DAGs (Directed Acyclic Graphs), monitoring workflow execution, troubleshooting errors, and ensuring data quality across processes. They frequently collaborate with data engineers, analysts, and other IT teams to integrate new data sources and support evolving business needs. This role demands a proactive approach to addressing data pipeline issues and a strong commitment to maintaining reliable and efficient workflow orchestration.

What are the key skills and qualifications needed to thrive in the Airflow position, and why are they important?

To thrive as an Apache Airflow Engineer, you need a solid background in Python programming, workflow orchestration, and data engineering concepts, often supported by a degree in computer science or a related field. Familiarity with tools like Apache Airflow, cloud platforms (such as AWS or GCP), and version control systems (like Git) is highly beneficial, along with relevant certifications in big data or cloud technologies. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for managing complex workflows and collaborating with cross-functional teams. These skills ensure efficient data pipeline automation, maintain data integrity, and enable seamless cooperation in modern data-driven environments.

What are the roles in Airflow?

Roles in Airflow typically include developers, data engineers, and DevOps engineers who design, build, and maintain workflows using Airflow's DAGs and operators. These roles require knowledge of Python, scheduling, and environment management to ensure reliable data pipeline execution.

What are the most commonly searched types of Airflow jobs in Michigan?

The most popular types of Airflow jobs in Michigan are:

What are popular job titles related to Airflow jobs in Michigan?

For Airflow jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Airflow jobs in Michigan look for?

The top searched job categories for Airflow jobs in Michigan are:

Airflow jobs near you
Infographic showing various Airflow job openings in Michigan as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, 2% Temporary, 4% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $130,342 per year, or $62.7 per hour.

Engine Calibration Engineer

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 17 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

15th of 45 rated automakers

Job description

Location: Auburn Hills, MI
Engine Calibration Engineer defining, improving, and deploying model-based and physics-based calibration methods for gasoline engine applications. Creates repeatable workflows, templates, validation criteria, and model correlation methods that enable application calibrators to deliver robust SS Nominal, SS Emissions, Off-Nominal, and Transient Calibration, bridging physical system behavior, simulation models, and production-intent quality expectations.
Key Responsibilities
  • Lead gasoline base calibration methodology (torque model, spark, knock, combustion, airflow, fuel, boost, VVT, EGR, idle, startability) plus SS Emissions, Off-Nominal, and Transient calibration methods.
  • Define release-readiness criteria, checklists, and documentation standards for calibration freeze, software release, and program milestones.
  • Develop model-based/physics-based methods with defined inputs, assumptions, limitations, and acceptance criteria; build/guide virtual models to reduce reliance on physical testing.
  • Define model correlation methods across vehicle, engine/propulsion dyno, HIL/SIL/MIL, and virtual datasets to close simulation-to-physical gaps.
  • Standardize methodology toolchain use: MATLAB, Simulink, ETAS INCA, MDA, dSPACE Automation, ControlDesk.
  • Build structured root-cause analysis and issue-resolution templates; capture lessons learned and reusable countermeasures across applications.
  • Define validation/test-planning methods (dyno, vehicle, HIL/SIL/MIL, virtual) and maturity/readiness criteria for program reviews and launches.
  • Mentor engineers, align CoE and cross-functional teams, and drive consistent documentation and repeatable calibration workflows.

Required Qualifications
  • Bachelor's in Engineering or related field.
  • 5 years in gasoline engine calibration, calibration methodology, engine system development, powertrain controls, or model-based/physics-based development.
  • Prior experience on dyno calibration on Boosted/TJI engine technologies.
  • Strong knowledge of ICE subsystems: combustion, valvetrain, fuel, boost, EGR, aftertreatment, thermal protection, transient behavior, emissions controls.
  • Hands-on experience in base calibration areas (torque model, spark, knock, combustion, airflow, fuel, boost, VVT, EGR, idle, startability, emissions, off-nominal, transient).
  • Understanding of release workflows, validation planning, optimization methods, and control-system interactions.
  • Experience collecting/interpreting calibration data from dyno, vehicle, HIL, or virtual environments.
  • Proficiency with ETAS INCA, MDA, dSPACE Automation, ControlDesk, MATLAB, Simulink, and data analytics tools.
  • Strong problem-solving, cross-functional influence, and clear technical communication skills.

Preferred Qualifications
  • Master's degree in engineering.
  • Experience with spark ignition controls, production calibration release, or process ownership.
  • Experience with validation trips, altitude/environmental testing, launch support, and maturity assessments.
  • Experience with DOE, engine modeling, neural networks, reactive problem solving, statistics, or advanced simulation tools.
  • Familiarity with Model Advisor/MXAM, MDS, Simulink Requirements, SystemDesk, RTC/RQM, DNG, or SLDD-to-A2L/FBDD workflows.

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