Data Platform Engineer, Robotics Pipelines (Onsite Irvine)

FieldAI; Irvine (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Field AI in Irvine leads the robotics data platform to move telemetry and sensor data from field robots to analytics and training systems. You will design data pipelines and integrations across robot/edge systems, fleet tooling, and cloud storage to support analytics, ML training, and deployment operations.

The role emphasizes building scalable ingestion, enabling cross-functional teams, and delivering reliable data backbones for autonomous robotics applications in dynamic environments.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 3–5+ years of experience in data engineering or backend engineering.
• Strong programming skills in Python and SQL.
• Production experience with streaming systems (Kafka, Kinesis, Pub/Sub) and orchestration tools such as Airflow or Dagster.
• Experience with a modern warehouse or lakehouse (BigQuery, Snowflake, Databricks, Redshift) and cloud object storage at scale.
• Experience building integrations across systems including CDC/ELT tooling (Fivetran, Airbyte, Debezium, or custom connectors).
• Experience building for data quality: testing, monitoring, lineage, and incident response.

Responsibilities

• Design and build the data platform, frameworks, and developer tooling that power ingestion across Field AI.
• Handle field data realities: intermittent connectivity, large sensor payloads, edge-to-cloud sync.
• Develop reusable ingestion SDKs, APIs, and services for onboarding new robotics data sources.
• Build and maintain integrations across heterogeneous sources: robot/edge, fleet management, deployment tooling, cloud storage.
• Integrate the platform with BI, ML training, evaluation pipelines, labeling systems, and issue tracking.
• Develop connectors and APIs (REST/gRPC, webhooks, CDC) for reliable data feed and curated datasets.
• Own integration reliability end to end: schema contracts, versioning, retries, backfills, monitoring.
• Optimize pipeline performance, scalability, and cost across growing fleet deployments.

Skills

Python

SQL

Data engineering

Backend engineering

Streaming systems

Airflow

Dagster

CDC/ELT tooling

Data quality

Education

Bachelor’s or Master’s degree in Computer Science or Engineering

Tools

Kafka

Kinesis

Pub/Sub

Airflow

Dagster

BigQuery

Snowflake

Databricks

Redshift

Fivetran

Airbyte

Debezium

Job description

Field AI in Irvine leads the robotics data platform to move telemetry and sensor data from field robots to analytics and training systems. You will design data pipelines and integrations across robot/edge systems, fleet tooling, and cloud storage to support analytics, ML training, and deployment operations.

The role emphasizes building scalable ingestion, enabling cross-functional teams, and delivering reliable data backbones for autonomous robotics applications in dynamic environments.