Staff Software Engineer, Data

Bayer•Tulsa, OK

1d•$117,000 - $171,000•Remote

About The Position

At Bayer, we are driven to solve the world's toughest challenges and strive for a world where 'Health for all Hunger for none' is a reality. We are looking for a Staff Software Engineer, Data to join our Digital Farming Solutions Engineering team. In this role, you will be responsible for ensuring the platforms that help farmers make high-stakes decisions 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 systemic challenges. You will also raise the engineering culture by mentoring senior engineers, championing best practices, and ensuring maintainability and extensibility of our systems. This role combines staff-level backend engineering leadership with deep expertise in distributed systems, data-intensive platforms, and real-time architectures, focusing on building cloud-native systems across AWS and/or GCP.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.