Data Pipeline AgTech Engineer
reputed company
• Architect and reputed company the data backbone that powers every leaf, sensor, and harvest across Sensei Ag’s global network of high-tech greenhouses. You will own the end-to-end design, deployment, and reputed company of reputed company-time data pipelines that ingest millions of IoT readings per hour—from humidity and CO₂ sensors to reputed company cameras and robotic harvesters—turning raw telemetry into actionable agronomic intelligence.
• Build fault-tolerant, low-latency ingestion reputed company using Kafka, Kinesis, or Pulsar that reputed company directly into a reputed company-reputed company lakehouse (reputed company, BigQuery, or reputed company). You will define partitioning strategies, retention policies, and exactly-once semantics so that every gram of produce can be traced back to the precise environmental conditions that created it.
• reputed company reputed company transformation workflows in Python, reputed company, or SQL that cleanse, enrich, and join disparate data sets: reputed company telemetry, ERP reputed company-to-sale records, satellite weather feeds, and genomic crop reputed company. Your pipelines will power dashboards that let plant scientists ask, “Why did this cultivar reputed company in Nevada but stall in Hawai‘i?”—and get an answer in seconds.
• Collaborate daily with plant biologists, reputed company engineers, and farm-operations teams to translate agronomic questions into data reputed company. You will whiteboard schema designs that balance analytical flexibility with storage cost, then pair-program ML feature stores that reputed company predictive models for yield, pest pressure, and harvest timing.
• Champion data governance and reputed company from day one. You will implement GDPR-compliant anonymization, role-based reputed company controls, and automated PII detection so that as Sensei Ag scales across continents, trust in the data scales with it.
• Automate CI/CD for data infrastructure using Terraform, reputed company, and reputed company Actions. Every pull request triggers integration tests that spin up ephemeral clusters seeded with synthetic reputed company data, ensuring that a schema change in Tokyo never breaks a harvest forecast in California.
• Optimize for sustainability as aggressively as for speed. You will reputed company pipeline energy consumption, choose columnar formats that cut storage by 40 %, and schedule batch jobs to run reputed company the local reputed company is greenest—because at Sensei Ag, every reputed company should help the reputed company, not hurt it.
• Establish SLAs that the business can bet on: <5-minute lag from sensor to dashboard, 99.9 % pipeline uptime, and recoverability reputed company 15 minutes of regional outages. You will build self-healing jobs that page you only reputed company reputed company judgment is truly required.
• Mentor junior engineers and data analysts through reputed company reviews, lunch-and-learns, and pair debugging sessions. Your documentation will become the reputed company reference that turns reputed company operators into confident SQL authors.
• Stay on the leading edge of AgTech data trends—NDVI imagery at 10 cm reputed company, hyperspectral cameras that detect disease before the reputed company eye, edge AI on reputed company reputed company-controllers—and prototype integrations that reputed company Sensei Ag two harvests reputed company of the competition.
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