Quick overview
Job description
About The Job
As a Data Platform Engineer, Autonomy Analytics, you will turn what our robots do in the field into answers the autonomy team can act on. You will model mission, intervention, anomaly and sensor-health data into trusted datasets and metrics, build the dashboards and tools engineers use every day, and own the ranked list of field problems that drives the autonomy roadmap.
About the Data Platform Team
Every robot we deploy generates a continuous stream of telemetry, sensor logs and operational data from environments around the world. The Data Platform team builds the systems that capture every autonomy intervention, anomaly and operational signal, classify them, and turn them into the ranked problem list that drives our engineering roadmap.
What You'll Get To Do
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Define and own the core autonomy metrics: interventions per hour and per kilometer, mission success, autonomy uptime, failure modes by site, release and robot
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Build the data models (SQL transformations on Athena/Iceberg) that turn raw robot events and logs into clean, documented tables
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Build and maintain dashboards and self-serve analysis tools (Superset or similar) for autonomy, field and leadership teams
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Design event taxonomies and classification so interventions and anomalies are grouped by root cause, not by noise
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Partner with autonomy engineers to measure releases: did this change reduce interventions, and where did it regress
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Pull targeted signals out of robot logs (ROS2/MCAP topics) for deep-dive investigations
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Own metric correctness: data quality tests, definitions in the catalog, and alerts when a number goes wrong
What You Have
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Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field
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3–5+ years in analytics engineering, data engineering, or data science on operational or product data
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Expert SQL and strong Python (pandas or similar)
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Experience modeling data in a warehouse or lakehouse (Athena/Trino, BigQuery, Snowflake, Databricks, Redshift)
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Experience building dashboards and metrics that leaders and engineers actually rely on
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Comfort with ambiguous questions: you can turn "why are we failing at this site?" into a query, a chart and a recommendation
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Experience building products, not just answering requests: you build self-serve tools that let teams understand their own sites and robots without needing you in the loop
The Extras That Set You Apart
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Experience with robotics, autonomous vehicles, or other fleet telemetry (time-series, event logs, bag files)
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Familiarity with ROS/ROS2, MCAP or rosbag, or tools like Foxglove
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Experience with a data catalog (OpenMetadata, DataHub) or data-quality frameworks
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Statistics background: experiment design, regression detection, confidence on small samples
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