Data Engineer
Core
Design, build, and maintain data pipelines and orchestration for agriculture analytics, BI, and customer-facing reporting.
Role type
Data Engineer
Builds
Data pipelines, warehouse models, and operational software for agribusinesses
Domain
Agriculture / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, AWS (Lambda, EventBridge, SQS, S3, DynamoDB), APIs, webhooks, event-driven systems, data quality, testing, Git, CI/CD, infrastructure as code, BI tools (Looker, Power BI, Tableau, Superset)
Preferred skills
Dagster, dbt, DLT, Athena, Iceberg, ClickHouse, third-party integrations, multi-region systems, data security and governance
Responsibilities
Own design and reliability of data pipelines, resolve data issues end-to-end, mentor junior engineers, represent data team with cross-functional partners
Seniority
Mid-to-Senior, hands-on IC
