Software Data Engineer

We are seeking a data-obsessed, solutions-oriented Software Engineer to join our team. This person will collaborate with multiple teams within BRT. They will be customer-oriented and will work with both internal and external customers. This team is core to the See and Spray strategy. We collect and upload petabytes of data every day, which we then use to train our models, improve our systems, and provide insights to our end customers. See and Spray is core to Deere’s SaaS based growth strategy., This person will help deliver the promise of Precision Agriculture to the world’s farm fields. In this role, you will collaborate with our team to optimize image-processing systems for computer vision and machine learning using large datasets from our agricultural robotic systems. We tackle our objectives with multi-functional engineering teams of systems and embedded software, test and QA, mechatronics, computer vision, and machine learning engineers. Our team is empowered to figure out how to overcome challenges, plan, and prioritize work; everyone is a key contributor., A combination, not necessarily all-inclusive, of the following:

• Build and maintain production and engineering pipelines for the data lifecycle, including Data Upload, Data Processing, Monitoring, and Data Visualization.
• Design, develop, and test full-stack applications that help analyze vector and raster data.
• Implement smart data offboarding solutions for Cloud and Edge compute environments.
• Document code, APIs, and system architecture to ensure knowledge sharing.
• Own developing a continuous delivery pipeline for all ingest-related software in Kubeflow/Airflow and Databricks.
• Collaborate with cross-functional partners such as the Product, QA, CVML, and Robotics teams.
• Build and maintain Data Collection tools.

• 5+ years of experience in Go and Python.
• Experience with cloud native solutions.
• Experience with Kubeflow/Airflow.
• Experience with Windsurf or similar AI IDEs.
• Familiarity with C++ and/or TypeScript.
• Familiarity with data observability practices like monitoring, validation, etc.

Preferred Experience and Skills

• Experience with Robotics or IoT data.
• Experience working with Machine Learning Engineers.
• Exposure to Terraform or other Infra as a Service tools.

Only individual applicants will be considered. We do not work with unsolicited third-party agencies or proxy interview services.

At Blue River, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $131,000 - $228,000/year for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. This position is also eligible for an annual performance bonus and a competitive benefit package. During the recruitment process, we may identify an alternative role or level to which you are more suited. If your ideal role at Blue River differs from the advertised position, we will provide an updated pay range as soon as possible during the hiring process.

We’re Blue River, a team of innovators driven to create intelligent machinery that solves monumental problems for our customers. We empower our customers - farmers, construction crews, and foresters - to implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor. We believe that focusing on the small stuff - pixel-by-pixel and task-by-task - leads to big gains.

Blue River Technology aligns with John Deere’s vision to “innovate on behalf of humanity” by quickly identifying and solving high-value, high-uncertainty challenges in AI, machine learning, computer vision, and robotics. BRT acts as a research and development flywheel, building not only new products but also new platforms that reliably create value for both Deere and its customers. From fully autonomous machines to highly precise farming equipment, BRT and Deere are partnering to create technical breakthroughs in industries like agriculture and construction.