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Software Engineering Analyst Jobs in Michigan (NOW HIRING)

FastTek

Software Engineer

Dearborn, MI

Our work supports engineering, product quality, and analytics at scale through reliable, secure, and maintainable data platform solutions. We are looking for a Senior Software Engineer - Data ...

Ford Motor Company

Senior Software Engineer

Allen Park, MI · On-site

$111K - $147K/yr

Join us and use your data expertise and software engineering skills to drive evidence-based, timely decision-making. Position Overview Quality Analytics is a product group within GDIA that builds ...

New

KLA-Belgium

Software Engineering Manager-AI/ML

Ann Arbor, MI · On-site

$114.10 - $194/hr

... analytics, and process excellence. Key Responsibilities * Manage and grow a team of AI engineers ... or software engineers working on AI initiatives. * Set clear goals, expectations, and success ...

New

Kla

Software Engineering Manager-AI/ML

Ann Arbor, MI · On-site

... analytics, and process excellence. /Preferred Qualifications The AI Manager leads a team of ... Manage and grow a team of AI engineers, ML engineers, and/or software engineers working on AI ...

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All JobsSoftware Engineering Analyst JobsSoftware Engineering Analyst Jobs in Michigan

Software Engineering Analyst information

See Michigan salary details

$29

$38

$45

How much do software engineering analyst jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for software engineering analyst in Michigan is $38.62, according to ZipRecruiter salary data. Most workers in this role earn between $33.32 and $43.99 per hour, depending on experience, location, and employer.

What is a software engineering analyst?

A Software Engineering Analyst is a professional who analyzes, designs, and supports software solutions to meet business needs. They often work closely with development teams to gather requirements, assess system performance, and recommend improvements. Their role may involve coding, testing, troubleshooting, and ensuring that software aligns with organizational objectives. Software Engineering Analysts bridge the gap between technical teams and business stakeholders, ensuring that software projects are delivered efficiently and effectively.

What is the difference between Software Engineering Analyst vs Software Developer?

AspectSoftware Engineering AnalystSoftware Developer
Primary RoleAnalyzes software systems, identifies issues, and recommends improvementsDesigns, codes, and tests software applications
Skills & CertificationsKnowledge of software analysis, testing, and troubleshooting; certifications like ISTQBProficiency in programming languages; certifications like Microsoft Certified or Java certifications
Work EnvironmentOften in IT consulting, analysis teams, or project supportDevelopment teams, coding environments, software companies
Industry UsageCommon in IT consulting, finance, and enterprise softwarePrevalent in software development firms, tech companies, startups

The main difference is that Software Engineering Analysts focus on analyzing and improving existing software systems, while Software Developers primarily create and build new software applications. Both roles require technical skills, but their core responsibilities differ, making them complementary in software projects.

What are some typical challenges software engineering analysts face when transitioning from academic projects to real-world systems?

Software Engineering Analysts often find that moving from academic or theoretical projects to real-world systems introduces complexities such as dealing with legacy code, understanding large-scale architectures, and adhering to strict coding standards. They must quickly learn to collaborate with cross-functional teams, manage competing priorities, and communicate technical details to both technical and non-technical stakeholders. Additionally, analysts are expected to adapt to rapid changes in project requirements and ensure that their solutions align with business objectives, which can be quite different from classroom environments.

What are the key skills and qualifications needed to thrive as a software engineering analyst, and why are they important?

To thrive as a Software Engineering Analyst, you need strong analytical abilities, proficiency in programming languages (such as Java, Python, or C#), and a relevant degree in computer science or a related field. Familiarity with software development tools, version control systems (like Git), and understanding of databases or software methodologies is typically expected. Excellent problem-solving skills, attention to detail, and effective communication are standout soft skills for this role. These competencies enable analysts to design robust solutions, collaborate with teams, and ensure the successful delivery of technology projects.
What are popular job titles related to Software Engineering Analyst jobs in MI? For Software Engineering Analyst jobs in MI, the most frequently searched job titles are:
Software Engineering Analyst jobs near you
Infographic showing various Software Engineering Analyst job openings in Michigan as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $80,321 per year, or $38.6 per hour.

Software Engineer

FastTek

Dearborn, MI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Job description

Software Engineer #1059251
Position Description:
The Connected Vehicle Data Enablement (CVDE) organization within Global Data Insight and Analytics (GDIA) builds the data platforms and software capabilities that help our teams transform connected vehicle data into actionable insights. Our work supports engineering, product quality, and analytics at scale through reliable, secure, and maintainable data platform solutions. We are looking for a Senior Software Engineer - Data Platform with strong Java and Python experience to help design, build, and evolve production-grade data and automation solutions. This role is ideal for an engineer who combines strong software engineering fundamentals with practical experience delivering cloud-based data platform capabilities. The right candidate will be able to lead through technical depth, mentor peers, work through ambiguity, and remain highly hands-on in delivery, spending approximately 70-90% of their time writing code and building solutions.
Role Overview:
  • You will work on a small, cross-functional team responsible for building and improving software systems, data transformation pipelines, and platform capabilities that support connected vehicle analytics and engineering use cases.
  • You will partner closely with product managers, business stakeholders, and engineers to translate complex problems into practical, scalable technical solutions.
  • This is a hands-on engineering role with meaningful ownership across architecture, implementation, and delivery.

Skills Required:
  • Spring Boot, Python, Google Cloud Platform, SQL

Skills Preferred:
  • GCP Cloud Run, Angular, Spring Boot, Big Query, AIPGEE

Experience Required:
  • 6+ years of software engineering experience, including significant experience building cloud-based data platforms or data-intensive systems.
  • Strong hands-on development experience in both Java and Python, including design, implementation, testing, and deployment.
  • Proven experience architecting and delivering solutions from concept through production support.
  • Strong understanding of object-oriented design, distributed systems, and modern software engineering practices.
  • Experience building on public cloud platforms, preferably Google Cloud Platform (GCP).
  • Experience with cloud and data platform technologies such as BigQuery, Dataproc, Cloud Run, Airflow/Astronomer, or similar tools.
  • Experience with CI/CD pipelines, automated testing, and modern version control practices.
  • Experience with Infrastructure as Code, preferably Terraform.
  • Experience implementing observability practices, including logging, monitoring, alerting, and operational diagnostics for production systems.
  • Strong communication skills and the ability to work effectively with technical and non-technical stakeholders.
  • Demonstrated ability to mentor peers and influence engineering direction through day-to-day technical leadership.

Experience Preferred:
  • Experience building data platforms, data-intensive applications, or large-scale transformation pipelines.
  • Experience in automotive, manufacturing, telemetry, or other large-scale operational data environments.
  • Experience working in a large global organization with diverse stakeholders and competing priorities.
  • Experience with backend or full-stack development in support of internal platforms or data products.
  • Experience using AI or automation tools to improve engineering productivity, code quality, testing, or documentation workflows.
  • Google Cloud certification.

Education Required:
  • Bachelor's Degree

Education Preferred:
  • Certification Program, Master's Degree

Additional Information:
  • Design, build, test, deploy, and support scalable software solutions using both Java and Python.
  • Lead the design and implementation of reliable, maintainable, and production-ready data platform and transformation capabilities.
  • Build and enhance cloud-native applications, services, and workflows on Google Cloud Platform.
  • Contribute hands-on code while also providing technical leadership, architectural guidance, and mentoring to other engineers.
  • Partner with stakeholders to clarify requirements, decompose complex problems, and deliver iterative value through agile development practices.
  • Drive engineering quality through strong design, code reviews, testing, CI/CD automation, observability, and operational excellence.
  • Improve platform reliability, supportability, and scalability through monitoring, logging, alerting, and performance optimization.
  • Contribute to infrastructure automation and environment consistency using Infrastructure as Code practices, including Terraform.
  • Balance short-term delivery goals with long-term platform sustainability, reuse, and technical health.
  • Evaluate and apply modern engineering tools, including AI-assisted development workflows, where they improve speed, quality, and team effectiveness.

Additional Info:
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra. We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
  • Medical and Dental (FastTek pays majority of the medical program)
  • Vision
  • Personal Time Off (PTO) Program
  • Long Term Disability (100% paid)
  • Life Insurance (100% paid)
  • 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.