1

Software Development Engineer In Test Manager Jobs in Davisburg, MI

Data Engineer (Python)

Auburn Hills, MI ยท On-site

$108K - $130K/yr

... Technical Lead (SDET Lead) will play a pivotal role in delivering major data engineering ... Proven track record of designing, deploying, and managing Airflow DAGs in enterprise environments ...

Participate in development trips and related test activities as needed * Perform other related ... Experience with GitHub, Jenkins, GitHub Actions, Jira and other configuration management, version ...

Participate in development trips and related test activities as needed * Perform other related ... Experience with GitHub, Jenkins, GitHub Actions, Jira and other configuration management, version ...

Development of test control and DAQ software using LabView * Operation of in-house test equipment ... Use of NI Diadem and imc FAMOS for data management and plotting * Use of Keysight products and ...

Development of test control and DAQ software using LabView * Operation of in-house test equipment ... Use of NI Diadem and imc FAMOS for data management and plotting * Use of Keysight products and ...

Showing results 21-40

Software Development Engineer In Test Manager information

See Davisburg, MI salary details

$9

$47

$67

How much do software development engineer in test manager jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for software development engineer in test manager in Davisburg, MI is $47.51, according to ZipRecruiter salary data. Most workers in this role earn between $38.85 and $54.18 per hour, depending on experience, location, and employer.

What is the difference between Software Development Engineer In Test Manager vs Software Development Engineer In Test?

AspectSoftware Development Engineer In Test (SDET)Software Development Engineer In Test Manager (SDET Manager)
ResponsibilitiesDesigns and develops automated tests, writes test scripts, and ensures product quality at the individual level.Leads testing teams, oversees testing strategies, and manages test planning and execution across projects.
Required SkillsStrong coding skills, automation tools, and testing frameworks.Leadership, project management, and team coordination skills in addition to technical expertise.
Work EnvironmentHands-on testing, coding, and automation development.Team management, strategic planning, and cross-team collaboration.

In summary, while a Software Development Engineer In Test focuses on technical testing and automation, a Software Development Engineer In Test Manager oversees testing teams and strategies, combining technical expertise with leadership skills to ensure overall quality assurance.

What are the most commonly searched types of Software Development Engineer In Test jobs in Davisburg, MI?

The most popular types of Software Development Engineer In Test jobs in Davisburg, MI are:

What are popular job titles related to Software Development Engineer In Test Manager jobs in Davisburg, MI?

For Software Development Engineer In Test Manager jobs in Davisburg, MI, the most frequently searched job titles are:

What job categories do people searching Software Development Engineer In Test Manager jobs in Davisburg, MI look for?

The top searched job categories for Software Development Engineer In Test Manager jobs in Davisburg, MI are:

What cities near Davisburg, MI are hiring for Software Development Engineer In Test Manager jobs?

Cities near Davisburg, MI with the most Software Development Engineer In Test Manager job openings:

Data Engineer (Python)

Auburn Hills, MI โ€ข On-site

Noblesoft Technologies
Software Developmentย โ€ขย 51 - 200 employees

$108K - $130K/yr

Contractor

Re-posted 8 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