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Data Engineer Airflow Jobs in Detroit, MI (NOW HIRING)

Noblesoft Technologies

Data Engineer (Python)

Auburn Hills, MI · On-site

$108K - $130K/yr

Data Engineering, Python, PySpark, CI/CD, Airflow, Workflow Orchestration Overall Experience: 8+ years of relevant experience JOB REQUIREMENTS - The Senior Data Engineer & Technical Lead (SDET Lead ...

Ford Motor Company

Data Engineer

Dearborn, MI · Hybrid

$115K - $192K/yr

Experience with Apache Airflow or Astronomer . You may not check every box, or your experience may ... Master's Degree in Computer Science, Data Engineering, or a related quantitative field. * 5+ years ...

Aptdata Solutions Inc.

Data Engineer

Farmington Hills, MI · On-site

$100 - $125/hr

Job Summary We are looking for a talented Data Engineer to join our team and help design, build ... Hands‑on experience with ETL tools and frameworks (e.g., Apache Airflow, Apache NiFi, Talend)

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Experience with workflow management engines (i.e., Airflow, Luigi, Azure Data Factory, etc ... Programming Mastery: Strong proficiency in Scala or Java. You should be comfortable building ...

Ford Motor Company

Data Engineer

Dearborn, MI · Hybrid

$115K - $192K/yr

Design, develop, and maintain complex data pipelines using Astronomer and Airflow. Cloud ... Master's Degree in Computer Science, Data Engineering, or a related quantitative field. 5+ years of ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Experience with workflow management engines (i.e., Airflow, Luigi, Azure Data Factory, etc ... Programming Mastery: Strong proficiency in Scala or Java. You should be comfortable building ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

... Airflow, Luigi, Azure Data Factory, etc.) • Experience with designing and implementing real-time pipelines • Experience with data quality and validation • Experience with API design • ...

Georgia IT, Inc.

Data Engineer - Detroit, MI

Detroit, MI · On-site

$113K - $135K/yr

Georgia IT, Inc. is a company seeking a Data Engineer to support various data-related projects. The ... Responsibilities : • Experience with SSIS and Apache Airflow (or similar) • Experience with ...

Cloud BC Labs

GCP Data Engineer

Dearborn Heights, MI · On-site

GCP Data Engineer Location : Dearborn, Michigan (Onsite) Term : C2C/W2 role Exp : 10+ Yrs : Basic ... Experience with ETL/ELT tools such as Apache Airflow, DataFlow/DataProc, or Qlik Data Integration.

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$105K - $127K/yr

The Data Engineer role resides within the Ford's Electric Vehicle organization. In this role, you ... Workflow orchestration tools like Airflow. * Relational Database Management System like MySQL ...

3B Staffing LLC

Data Engineer

Pontiac, MI · On-site

$113K - $136K/yr

Programming Languages: Proficient in SQL, Pyspark, Python ... Data Pipeline & ETL: Proficiency in building ETL/ELT pipelines using tools like Apache Airflow, AWS ...

3B Staffing LLC

Data Engineer

Pontiac, MI · On-site

$113K - $136K/yr

Programming Languages: Proficient in SQL, Pyspark, Python ... Data Pipeline & ETL: Proficiency in building ETL/ELT pipelines using tools like Apache Airflow, AWS ...

Deloitte

Sr Databricks Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

... Airflow, Unity Catalog, automated continuous integration and continuous deployment (CI/CD) pipelines, and performance optimization of data engineering pipelines, code, and compute resources Ability ...

Ford Motor Company

Data Engineer

Dearborn, MI

$140K - $184K/yr

... Airflow for scheduling, monitoring, and ensuring reliability of complex data pipelines. 4. ... Design and build production data engineering solutions to deliver reusable patterns using Google ...

Stefanini

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

... Airflow. Skills RequiredData/Analytics, Data Warehousing, Data Modeling Skills PreferredGoogle ... data engineering work experienceExperience with Google Cloud Platform (Google Cloud Platform ...

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All JobsData Engineer Airflow JobsData Engineer Airflow Jobs in Detroit, MI

Data Engineer Airflow information

See Detroit, MI salary details

$44.1K

$128.4K

$175.7K

How much do data engineer airflow jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineer airflow in Detroit, MI is $128,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $136,100.00 per year, depending on experience, location, and employer.

What does a data engineer specializing in Airflow do?

A Data Engineer specializing in Airflow is responsible for designing, building, and maintaining data pipelines using Apache Airflow, an open-source workflow orchestration tool. Their main job is to automate, schedule, and monitor complex data workflows, ensuring data moves reliably between systems and is processed efficiently. They often collaborate with data scientists, analysts, and other engineers to make sure that data is accessible, accurate, and up to date for business needs. Expertise in Airflow helps streamline data operations, optimize performance, and improve data pipeline reliability.

How does a data engineer specializing in Airflow typically collaborate with data scientists and analysts?

Data Engineers working with Airflow play a crucial role in enabling data scientists and analysts to access reliable, up-to-date data. They design and maintain ETL pipelines that automate data movement and transformation, ensuring data is clean and available for analysis. Collaboration often involves gathering requirements, troubleshooting pipeline issues, and optimizing data workflows to meet the needs of downstream users. Effective communication and documentation are essential, as data engineers must align technical solutions with the analytical goals of the broader team.

What are the key skills and qualifications needed to thrive as a data engineer specializing in Airflow, and why are they important?

To thrive as a Data Engineer with an Airflow focus, you need strong programming skills in Python, expertise in data pipeline design, and experience with distributed systems, often supported by a degree in computer science or a related field. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and database technologies, as well as certifications in cloud data engineering, are typically required. Outstanding problem-solving, attention to detail, and effective communication help you collaborate on complex data workflows and troubleshoot issues efficiently. These skills ensure robust, scalable, and reliable data infrastructure, enabling organizations to make data-driven decisions with confidence.

What is the difference between Data Engineer Airflow vs Data Engineer?

AspectData Engineer AirflowData Engineer
Primary FocusWorkflow orchestration and pipeline automation using AirflowData collection, storage, transformation, and pipeline development
Required SkillsPython, Airflow, ETL processes, cloud platformsSQL, Python, ETL, data modeling, cloud services
Work EnvironmentData teams, cloud environments, automation pipelinesData warehouses, big data platforms, cloud infrastructure
CertificationsAirflow certifications, Python, cloud certificationsSQL, cloud certifications, data engineering certifications

While both roles involve data pipeline work, Data Engineer Airflow specializes in designing and managing workflows with Airflow, focusing on automation and orchestration. In contrast, Data Engineer has a broader scope, including data storage, transformation, and pipeline development across various tools and platforms.

What are popular job titles related to Data Engineer Airflow jobs in Detroit, MI?

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

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

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

What cities near Detroit, MI are hiring for Data Engineer Airflow jobs?

Cities near Detroit, MI with the most Data Engineer Airflow job openings:

Data Engineer Airflow jobs near you

Data Engineer (Python)

Noblesoft Technologies

Auburn Hills, MI • On-site

$108K - $130K/yr

Contractor

Re-posted 7 days ago

Job description

Job Role: Senior Data Engineer (Python)

Location: Auburn Hills, MI
 

Mandatory Skills: Data Engineering, Python, PySpark, CI/CD, Airflow, Workflow Orchestration

Overall Experience: 8+ years of relevant experience

JOB REQUIREMENTS -

The Senior Data Engineer & Technical Lead (SDET Lead) will play a pivotal role in delivering major data engineering initiatives within the Data & Advanced Analytics space. This position requires hands-on expertise in building, deploying, and maintaining robust data pipelines using Python, PySpark, and Airflow, as well as designing and implementing CI/CD processes for data engineering projects

Key Responsibilities
1. Data Engineering: Design, develop, and optimize scalable data pipelines using Python and PySpark for batch and streaming workloads.
2. Workflow Orchestration: Build, schedule, and monitor complex workflows using Airflow, ensuring reliability and maintainability.
3. CI/CD Pipeline Development: Architect and implement CI/CD pipelines for data engineering projects using GitHub, Docker, and cloud-native solutions.
4. Testing & Quality: Apply test-driven development (TDD) practices and automate unit/integration tests for data pipelines.
5. Secure Development: Implement secure coding best practices and design patterns throughout the development lifecycle.
6. Collaboration: Work closely with Data Architects, QA teams, and business stakeholders to translate requirements into technical solutions.
7. Documentation: Create and maintain technical documentation, including process/data flow diagrams and system design artifacts.
8. Mentorship: Lead and mentor junior engineers, providing guidance on coding, testing, and deployment best practices.
9. Troubleshooting: Analyze and resolve technical issues across the data stack, including pipeline failures and performance bottlenecks.
Cross-Team Knowledge Sharing: Cross-train team members outside the project team (e.g., operations support) for full knowledge coverage.

Includes all above skills, plus the following;
·         Minimum of 7+ years overall IT experience
·         Experienced in waterfall, iterative, and agile methodologies

Technical Experience:

1. Hands-on Data Engineering : Minimum 5+ years of practical experience building production-grade data pipelines using Python and PySpark.
2. Airflow Expertise: Proven track record of designing, deploying, and managing Airflow DAGs in enterprise environments.
3. CI/CD for Data Projects : Ability to build and maintain CI/CD pipelines for data engineering workflows, including automated testing and deployment**.
4. Cloud & Containers: Experience with containerization (Docker and cloud platforms (GCP) for data engineering workloads. Appreciation for twelve-factor design principles
5. Python Fluency : Ability to write object-oriented Python code manage dependencies, and follow industry best practices
6. Version Control: Proficiency with **Git** for source code management and collaboration (commits, branching, merging, GitHub/GitLab workflows).
7. Unix/Linux: Strong command-line skills** in Unix-like environments.
8. SQL : Solid understanding of SQL for data ingestion and analysis.
9. Collaborative Development : Comfortable with code reviews, pair programming and using remote collaboration tools effectively.
10. Engineering Mindset: Writes code with an eye for maintainability and testability; excited to build production-grade software
11. Education: Bachelor’s or graduate degree in Computer Science, Data Analytics or related field, or equivalent work experience.

Unique Skills

• Graduate degree in a related field, such as Computer Science or Data Analytics
• Familiarity with Test-Driven Development (TDD)
• A high tolerance for OpenShift, Cloudera, Tableau, Confluence, Jira, and other enterprise tools