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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** General Motors - **Location:** Warren, MI, United States - **Experience:** Expert - **Salary:** $133,000 - $188,600 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Automation of Tests, Microsoft Azure, Cloud Engineering, Code Review, Continuous Integration, DevOps, Distributed Systems, Key Management, PostgreSQL, MySQL, NoSQL, OAuth, OpenID, Oracle (Applications), Redis, JSON Web Token, Software Engineering, Data Streaming, Privacy Controls, Azure Service Bus, Datadog, Data Logging, Enterprise Software Applications, Spring-boot, Event Driven Architecture, Git Flow, Kubernetes, Information Technology, Cassandra, Maintaining Code, Apache Kafka, Data Management, Restful APIs, Microservices - **Published:** November 11, 2026 - **Apply:** https://dejobs.org/x/x/BA676A898A394B95A93411671B34EAD1/job/ ## About the Role * 5+ years of professional software development experience building production-grade applications. * Bachelor's degree in Computer Science, Software Engineering, or a closely related technical field, or equivalent demonstrable professional software engineering experience. * Strong hands-on experience with Java and Spring Boot, including microservices-based architectures. * Proven experience designing, building, and consuming RESTful APIs. * Practical experience with Microsoft Azure, preferably including container-based workloads. * Experience with event-driven architectures, messaging, and streaming platforms such as Kafka, Event Hubs, or similar. * Experience with Kubernetes (AKS) or similar for container orchestration, deployment, and scaling. * Working knowledge of relational and NoSQL databases such as PostgreSQL, Oracle, MySQL, Redis, or Cassandra. * Experience with CI/CD pipelines, DevOps practices, and Git-based workflows. * Understanding of cloud-native architectures, distributed systems, resiliency, and scalability patterns. * Experience working in Agile/Scrum development environments. * Hands-on experience with observability tooling, including logging, metrics, and tracing. * Demonstrated ability to independently deliver assigned software work, collaborate effectively, and raise risks or dependencies early. * Strong analytical and problem-solving skills, with a bias toward action, ownership, and pragmatic delivery. * Ability to communicate technical information clearly with engineering teammates and cross-functional partners. What Can Give You a Competitive Advantage (Preferred Qualifications) * Data Privacy background or experience is helpful, but not required. * Experience designing or operating highly available production systems. * Practical experience with security best practices, including OAuth2/OIDC, JWT, and secrets management. * Experience modernizing legacy or monolithic applications into microservices and cloud-native architectures. * Experience collaborating with Legal, product, security, privacy, or other cross-functional partners. ## Description We are seeking a highly skilled Staff Privacy by Design engineer to build and operate modern, cloud-native enterprise applications that support critical Data Privacy initiatives. This is a purely individual-contributor role focused on delivering reliable features and services within the team's roadmap and established technical direction. Strong software engineering is the primary qualification. Data Privacy knowledge is useful, but prior privacy experience is not required. You will work with product managers, Legal, privacy partners, architects, and engineers to understand requirements and implement secure, maintainable solutions. You will own the implementation and operational readiness of your assigned work, contribute to design decisions for the components you build, and collaborate with the team when changes cross service or system boundaries. This role does not include people-management responsibilities or ownership of team-wide architecture or technical strategy. What You'll Do * Design, develop, test, and maintain microservices and RESTful APIs using Java and Spring Boot on Microsoft Azure. * Deliver assigned features and services from requirements clarification and implementation through testing, deployment, observability, and production support. * Implement solutions within established architecture, patterns, and team standards; contribute to component-level designs and raise technical tradeoffs or concerns. * Work with product, Legal, privacy partners, and teammates to translate Data Privacy and business requirements into clear implementation tasks. * Build secure, reliable services using Azure capabilities, container-based workloads, and cloud-native patterns. * Apply event-driven architecture and messaging or streaming platforms such as Kafka or Azure Event Hubs. * Work with relational and NoSQL databases, selecting suitable data patterns for the feature or service. * Write and maintain automated tests, participate in code reviews, and document relevant implementation and operational details. * Use CI/CD pipelines, automation, Git-based workflows, and DevOps practices to support reliable delivery. * Use logging, metrics, and tracing to monitor the components you own, investigate issues, and identify practical improvements. * Apply applicable data-handling, access, retention, and protection requirements in collaboration with the relevant partners. * Use AI-assisted development tools thoughtfully while maintaining code quality, security, and engineering judgment. * Communicate progress, dependencies, and risks; coordinate with teammates to resolve issues and deliver committed work. * Identify and suggest improvements to the code, tooling, and practices used by the team.