Senior Data Engineer

Job Description This role is categorized as hybrid. This means the successful candidate is expected to report to Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days]. The Role We are looking for a Java Microservices Developer to design, build, and support scalable, resilient microservices for our Daignostics platform team. You will work closely with product managers, architects, and DevOps engineers to deliver secure, performant APIs and back-end services that power critical business and customer-facing applications. What Youu2019ll Do + Own the end-to-end design, development, and operation of scalable data engineering pipelines and backend services using Java,Quarkus, Spring Boot ensuring reliability, observability, and maintainability. + Lead the design and implementation ofcron-based and event-driven orchestration services that retrieve and process data from multiple enterprise systems via REST APIs and messaging platforms. + Architect and implement real-time data processing solutions using Kafka and Azure Event Hub, including schema design, consumer group strategy, and resiliency patterns. + Design andoptimizerelational data models and database solutions using PostgreSQL and other relational data stores, including indexing strategies, query optimization, and performance tuning at scale. + Drive the deployment, scaling, and lifecycle management of services on Azure Kubernetes Service (AKS), including workload identity, networking, and security configuration. + Define and implement CI/CD pipelines using GitHub Actions/Workflows, and manage automated, GitOps-based deployments usingArgoCDacross multiple environments. + Lead infrastructure automation using Terraform,establishingreusable modules, environment standards, and best practices for cloud resource provisioning and governance, including Datadog monitor creation and management. + Design and implement end-to-end observability using Prometheus, Datadog, and related tooling, including metrics, logs, traces, dashboards, andalertingwith clear SLOs/SLIs. + Build andmaintaindata processing workflows using Databricks and distributed data frameworks, including batch and streaming jobs, job orchestration, and cost-optimizedcompute. + Collaborate closely with product, architecture, and cross-functional engineering teams to refine requirements, define technical roadmaps, and translate business outcomes into robust technical designs. + Drive performance, reliability, and scalability improvements across data and service layers, including load testing, capacity planning, and performance benchmarking. + Troubleshoot complex production issues, perform root cause analysis, and implement durable fixes and resiliency patterns. + Champion engineering best practices (code reviews, testing strategy, documentation, security, and monitoring) and help evolve team standards, patterns, and reference architectures. + Mentor and coach engineers on the team,providingtechnical guidance, pairing, and feedback to elevate overall engineering quality and delivery. Your Skills & Abilities (Required Qualifications) + Bacheloru2019s degree in Computer Science, Software Engineering, Information Systems, or related field, or equivalent practical experience. + 6 - 8+ years of professional experience in software engineering and/or data engineering, with a strongtrack recordof delivering production systems. + Strongproficiencyin Java and object-oriented design, with experience applying design patterns and clean architecture principles. + Hands-on experience buildingQuarkusand Spring Boot applications, including configuration management, dependency injection, and integration with external services. + Demonstrated experience designing and consuming REST APIs and building microservices architectures, including service contracts, versioning, and backward compatibility. + Strong knowledge of event-driven architectures and real-time data processing using Kafka or Azure Event Hub (topics, partitions, consumer groups, schema evolution). + Deep experience with relational databases, especially PostgreSQL, including schema design, performance tuning, query optimization, and monitoring. + Hands-on experience with Azure cloud services, especially AKS, networking( ingress, load balancers), identity, and managed data/services. + Experience implementing and maintaining CI/CD pipelines using GitHub Actions/Workflows, including build, test, quality gates, and deployment automation. + Solid Infrastructure-as-Code experience with Terraform, including modules, environment strategy, state management, and authoring Datadog monitors via code. + Experience with observability tooling such as Prometheus and Datadog, and the ability to define meaningful metrics, dashboards, and alerts. + Strong understanding of containerization with Docker and orchestration with Kubernetes, including configuration, scaling, and security best practices. + Proven ability to lead technical initiatives, drive decisions across stakeholders, and own systems from design through production support. + Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences. What Can Give You a Competitive Advantage (Preferred Qualifications) + Experience with Azure platform services and architecture patterns, including networking, security, identity, and data services. + Experience with email marketing or customer communication platforms, such as Adobe Journey Optimizer (AJO) or similar tools, including template strategy, segmentation, and orchestration workflows. + Experience integrating enterprise marketing/communication tools with backend services and event streams for personalized, real-time experiences. + Understanding of security best practices in cloud-native and API development (OAuth/OpenID Connect, secret management, data encryption, least-privilege access). + Familiarity with telemetry, distributed tracing, and log analytics in cloud environments, and experience using them to diagnose andoptimizeproduction systems. + Experience building oroperatinglarge-scale customer engagement, notification, or messaging systems with high availability and strict SLAs. + Prior experience mentoring engineers, acting as a technical lead, or driving architecture decisions within a high-performing engineering team. + Interest or experience in applying AI and machine learning (including generative AI and LLM-based services) to enhance data platforms, developer productivity, and customer-facing capabilities. This job may be eligible for relocation benefits. Compensation: + The expected base compensation for this role is: $125,000 - $173,150. Actual base compensation within the identified range will vary based on factors relevant to the position. + Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. + Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) #LI-CC1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day u2013 individually and collectively u2013 to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-beingu2013at work and at homeu2013so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (. 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Learn more about: Our Company ( Our Culture How we hireu200bu200bu200bu200bu200bu200bu200b ( Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations ( We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GMu2019s Talent Community () (. As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. 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Created: 2026-04-13