Staff Data Engineer Jobs

Staff Data Engineer

Figure

Location:
United States, San Jose

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

150000.00 - 250000.00 USD / Year

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Job Description:

We’re looking for a Staff Data Engineer to own the design, scalability, and reliability of our data platform powering fleet analytics, regression detection, and release validation across Figure’s humanoid robot fleet. This role blends elements of Data Engineering, Data Architecture, and Data Science. This role is ideal for someone who has built large-scale telemetry or platform data systems for domains like EVs, autonomous driving, or robotics fleets. You’ll serve as the technical anchor for the robot data platform, ensuring robot platform data is accurate, accessible, and actionable across the entire engineering organization. This is a hands-on individual-contributor role with direct influence over the software and hardware decisions shaping the next generation of humanoid robots.

Job Responsibility:

Architect and evolve Figure’s end-to-end platform data pipeline — from robot telemetry ingestion to warehouse transformation and visualization
Improve and maintain existing ETL/ELT pipelines for scalability, reliability, and observability
Detect and mitigate data regressions, schema drift, and missing data via validation and anomaly-detection frameworks
Identify and close gaps in data coverage, ensuring high-fidelity metrics coverage across releases and subsystems
Define the tech stack and architecture for the next generation of our data warehouse, transformation framework, and monitoring layer
Collaborate with robotics domain experts (controls, perception, Guardian, fall-prevention) to turn raw telemetry into structured metrics that drive engineering/business decisions
Partner with fleet management, operators, and leadership to design and communicate fleet-level KPIs, trends, and regressions in clear, actionable ways
Enable self-service access to clean, documented datasets for engineers
Develop tools and interfaces that make fleet data accessible and explorable for engineers without deep data backgrounds

Requirements:

Experience owning or architecting large-scale data platforms — ideally in EV, autonomous driving, or robotics fleet environments, where telemetry, sensor data, and system metrics are core to product decisions
Deep expertise in data engineering and architecture (data modeling, ETL orchestration, schema design, transformation frameworks)
Strong foundation in Python, SQL, and modern data stacks (dbt, Airflow, Kafka, Spark, BigQuery, ClickHouse, or Snowflake)
Experience building data quality, validation, and observability systems to detect regressions, schema drift, and missing data
Excellent communication skills — able to understand technical needs from domain experts (controls, perception, operations) and translate complex data patterns into clear, actionable insights for engineers and leadership
First-principles understanding of electrical and mechanical systems, including motors, actuators, encoders, and control loops

Additional Information:

Job Posted:
December 08, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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