US- IT Cloud Engineer (Expert)

Back US- IT Cloud Engineer (Expert) Data Engineer / Steward / Analyst St. Louis , MO Contract May 18, 2026 Senior Go Data Engineer Overview This opportunity is with a leading global agriculture research and development organization focused on advancing sustainable farming, biotechnology, predictive analytics, and large-scale scientific data platforms. The role supports enterprise-scale data engineering initiatives responsible for transforming complex scientific and operational datasets into scalable cloud-native software solutions that accelerate crop system innovation and decision-making across global agricultural operations. Must-Have Domains

• Data Engineering & Distributed Systems
• Cloud-Native Software Development
• Scientific & Large-Scale Data Platforms Core Responsibilities
• Design and develop distributed data processing and analytics platforms supporting large-scale scientific and operational datasets
• Build and maintain high-performance RESTful APIs and cloud-native services using Go
• Lead technical initiatives involving stream processing, containerized deployments, and scalable cloud infrastructure
• Mentor engineers and contribute to engineering best practices, software craftsmanship, testing, and architecture standards
• Collaborate cross-functionally to evaluate technology stacks, optimize data workflows, and support enterprise-scale data engineering initiatives Must-Have Experience
• Proven experience developing and delivering production-grade software applications or major product features using Go
• Experience building and maintaining data-intensive RESTful APIs, distributed systems, and large-scale database solutions
• Experience working with cloud platforms, Kubernetes, Docker, and event-streaming technologies such as Apache Kafka Top 5 Must-Have Technical Skills
• Go (Golang) software development
• RESTful API design and distributed systems architecture
• Apache Kafka stream processing
• Kubernetes and Docker containerization
• Cloud infrastructure experience with Google Cloud Platform, AWS, or Azure Preferred Skills
• Protocol Buffers and gRPC development
• Google Cloud Platform, Google Kubernetes Engine (GKE), Apache Beam, or Google Cloud Dataflow experience
• Experience with relational and NoSQL database modeling at scale
• Bioinformatics, genomic data processing, or scientific dataset analysis experience
• Test Driven Development (TDD) and automated unit testing methodologies
• Experience supporting quantitative science or data-intensive research environments
• Strong communication skills with the ability to collaborate across technical and business teams Work Environment
• Collaborative engineering environment focused on innovation, research, and large-scale data challenges
• Opportunity to work alongside highly skilled software and data engineering professionals
• Cloud-native and containerized engineering ecosystem leveraging modern distributed technologies
• Exposure to cutting-edge agricultural technology, biotechnology, and scientific computing initiatives
• Opportunities to contribute technical thought leadership and present at industry conferences and technology events Apply Now Share This Post