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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer, Data - **Company:** Bayer AG - **Location:** St. Louis, MO, United States - **Experience:** Expert - **Salary:** $117,000.0 - $171,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Geographic Information Systems, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Cloud Computing, Software Quality, Continuous Integration, Information Engineering, Distributed Systems, Middleware, Data Flow Control, Github, Java Message Service (JMS), Python (Programming Language), Cloudera, Software Engineering, Apache Spark, Backend, Gitlab, Event Driven Architecture, Build Management, AI Platforms, Information Technology, Apache Flink, Apache Kafka, Build Tools, Data Management, Machine Learning Operations, Api Design, Amazon Simple Queue Service (SQS), Stream Processing, Data Pipelines, Docker, Microservices - **Published:** July 9, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3315028646&tx=JT10193UTI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * BS or equivalent in Computer Science or related technical field or equivalent combination of education and experience * 8+ years of experience in software and data engineering. * Proven history of ability to quickly learn new skills and technologies * Expert knowledge in at least one modern backend programming language (e.g., Python, Java) with the ability to write understandable, testable code with an eye towards maintainability. * Experience with containerized and cloud-native development, including technologies such as Docker and CI/CD-driven delivery workflows. * Strong understanding of at least one public cloud platform. * Experience building APIs and backend platforms for data products. * Strong knowledge of software development methodologies and best practices. * Experience using data and service observability techniques to drive support and improvements of systems * Strong experience with event driven architectures using messaging middleware (SQS, JMS, etc.) * Proficiency with managing CICD pipelines (e.g., GitLab Pipelines, GitHub Actions) * Experience building distributed systems in AWS and/or GCP. * Experience supporting AI/ML data workflows through robust data pipelines. * Strong system design and problem-solving skills. Preferred * Experience with Spark, Flink, Dataflow, Dataproc. * Experience with Docker and cloud-native development. * Experience building scalable data platforms or lakehouses. (Strong Plus) * Experience with layered geospatial data structures, data representations and processing frameworks (Strong Plus) * Experience supporting ML/AI platforms such as feature stores or training/inference data pipelines. (Strong Plus ) * Experience building self-serve data platforms, backend data products, or APIs consumed by downstream engineering, analytics, or AI/ML workflows. (Strong Plus) * Proven ability to develop other strong senior engineers into Staff engineers, operating and leading their own initiatives with org-wide scope and high impact. ## Description The world's farmers make high-stakes decisions every season - and the platforms built by Digital Farming Solutions Engineering are what makes those decisions smarter. As a Staff Engineer, your role is to ensure those platforms are architected for scale, reliability, and the demands of AI and machine learning at a global level. You will set technical direction, define how teams approach complex problems across precision agriculture data, geospatial imagery, and cloud infrastructure, and resolve the systemic challenges that no single team can solve alone. Equally important, you will raise the engineering culture around you - mentoring senior engineers into Staff-level leaders, championing best practices, and ensuring that what we build today is maintainable, extensible, and worthy of the mission it serves. This role combines staff-level backend engineering leadership with deep expertise in distributed systems, data-intensive platforms, and real-time architectures. You will define technical direction, drive architectural quality, and help teams solve systemic problems that no single team can solve alone, while building cloud-native systems across AWS and/or GCP., * Define and drive technical strategy for high-priority backend and data platform initiatives. * Bring clarity to ambiguous, high-complexity problems and translate them into actionable technical direction. * Design and build highly scalable distributed systems across AWS and/or GCP. * Build backend services, microservices, APIs, and data-intensive processing systems. * Develop event-driven architectures using Kafka, Kinesis, Pub/Sub, SQS/SNS. * Architect streaming systems using Spark, Flink, or equivalent. * Work with geospatial data including satellite imagery and precision agriculture datasets. * Build systems handling petabyte-scale data and streaming-through-file patterns. * Set engineering standards for reliability, observability, and code quality. * Mentor senior engineers and drive technical excellence. * Collaborate with product, data science, and platform teams. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025) - [Software Developer Salary in Germany [2023]](https://www.wearedevelopers.com/magazine/194-software-developer-salary-in-germany-2023)