IT Data Engineer (Expert)

Vertage Inc.; Missouri; On-site; USD 120,000 - 180,000; Full time

Job summary

Bayer Crop Science seeks a Senior Golang Engineer to join an engineering team focused on scalable data platforms and services. You will design and build data-intensive RESTful APIs, lead architecture discussions, and mentor engineers across teams.

Preferred candidates have 8+ years in software or data engineering, strong Go skills, Kafka expertise, and cloud/Kubernetes experience, enabling enterprise-scale solutions.

Qualifications

• Bachelor’s or Master’s degree in computer science, engineering, information systems, or related field.
• 8+ years of experience in software engineering, backend development, or data engineering.
• Strong hands-on Go (Golang) development in production.
• Proven experience designing and building RESTful APIs and microservices.
• Extensive experience with Apache Kafka and event-driven architectures.
• Cloud platforms such as Google Cloud Platform, AWS, or Azure.
• Strong knowledge of Docker, Kubernetes, and container orchestration.
• Experience with SQL and NoSQL databases and large-scale data modeling.
• Knowledge of unit testing, TDD, and CI/CD pipelines.
• Excellent communication, collaboration, and leadership skills.

Responsibilities

• Design, develop, and maintain scalable data engineering solutions for large datasets.
• Build high-performance RESTful APIs and backend services using Go.
• Develop distributed data processing systems and streaming solutions with Kafka.
• Lead architecture and technical design discussions for enterprise-scale data platforms.
• Design and implement cloud-native solutions on GCP, AWS, or Azure.
• Build, deploy, and manage containerized apps using Docker and Kubernetes.
• Create data models for large-scale relational and NoSQL databases.
• Promote best practices: code reviews, automated testing, CI/CD, and TDD.
• Mentor junior engineers and provide technical leadership across teams.
• Collaborate with product managers, scientists, analysts, and stakeholders.
• Evaluate emerging technologies and recommend tools and architectures.

Skills

Go (Golang)

RESTful APIs

Apache Kafka

Docker

Kubernetes

Cloud Technologies

Data Engineering

CI/CD

TDD

Leadership

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field

Tools

GKE

Dataflow

Beam

gRPC

Protocol Buffers

SQL

NoSQL

Job description

Bayer Crop Science is on a mission to build sustainable agricultural solutions that help feed a growing global population. We leverage cutting-edge technology, advanced analytics, cloud computing, and large-scale data engineering to transform vast amounts of scientific, agricultural, and operational data into actionable insights.

We are seeking an Senior Golang Engineer to join a high-performing engineering team focused on developing scalable, distributed data platforms and services. The ideal candidate will possess strong expertise in Golang, Kafka, Cloud Technologies, Kubernetes, and Data Engineering, with a proven ability to design and build data-intensive applications that operate at enterprise scale.

Key Responsibilities

• Design, develop, and maintain scalable data engineering solutions supporting large and diverse datasets.
• Build and optimize high-performance, data-intensive RESTful APIs and backend services using Go (Golang).
• Develop distributed data processing systems and streaming solutions utilizing Apache Kafka.
• Lead architecture and technical design discussions for enterprise-scale data platforms.
• Design and implement cloud-native solutions on Google Cloud Platform (GCP), AWS, or Azure.
• Build, deploy, and manage containerized applications using Docker and Kubernetes.
• Create efficient data models for large-scale relational and NoSQL databases.
• Drive software engineering best practices including code reviews, automated testing, CI/CD, and TDD methodologies.
• Mentor junior engineers and provide technical leadership across multiple teams.
• Collaborate with product managers, scientists, analysts, and stakeholders to deliver innovative data solutions.
• Evaluate emerging technologies and recommend optimal tools and architectures.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
• 8+ years of experience in Software Engineering, Backend Development, or Data Engineering.
• Strong hands-on experience with Go (Golang) development in production environments.
• Proven experience designing and building RESTful APIs and microservices.
• Extensive experience with Apache Kafka and event-driven architectures.
• Solid understanding of distributed systems, algorithms, and data structures.
• Experience working with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure.
• Strong knowledge of Docker, Kubernetes, and container orchestration.
• Experience with both SQL and NoSQL database technologies and large-scale data modeling.
• Knowledge of Unit Testing, Test-Driven Development (TDD), and CI/CD pipelines.
• Excellent communication, collaboration, and leadership skills.

Preferred Qualifications

• Experience with Google Cloud Platform (GCP) services.
• Hands-on experience with Apache Beam, Google Cloud Dataflow, and Google Kubernetes Engine (GKE).
• Experience with Protocol Buffers and gRPC.
• Exposure to scientific, agricultural, genomic, or bioinformatics datasets.
• Experience processing large-scale variant, annotation, genotype, or phenotype data.
• Prior experience leading technical initiatives and mentoring engineering teams.

Technical Skills

Programming: Go (Golang), Python, SQL

Data Processing: Apache Beam, Google Cloud Dataflow

DevOps: CI/CD, Git, Automated Testing, TDD