Senior Software Engineer – Data Platform (W2 Position)

We have a job opportunity of a Role Senior Software Engineer Data Platform with given job description on W2. Please forward updated profile to or 1 .

Role: Senior Software Engineer Data Platform (W2 Position)

Location: Dearborn MI (HYBRID)

Duration: 12 Months

Experience: 8 Years

JD:

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.

Additional Information :

• Hybrid Position 4 days a week onsite
  • 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.