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À propos
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.
If you're a
hardcore data engineer
who thrives on solving complex, cross-disciplinary problems - join us and help define the data backbone for Humanoid robots.
Key Responsibilities:
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.
The US base salary range for this full-time position is between $150,000 and $250,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
Compétences idéales
- Data Modeling
- Kafka
- Python
- SQL
- Spark
Expérience professionnelle
- Data Engineer
Compétences linguistiques
- English
Avis aux utilisateurs
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