Autonomy Data Platform Engineer

FieldAI

Irvine (CA)

On-site

USD 120,000 - 160,000

Full time

14 days+
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Benefits offered by this job

Robotics telemetry experience
ROS/ROS2 familiarity

Job summary

FieldAI in Irvine, CA is seeking a seasoned data/backend engineer to design and build the data platform and ingestion frameworks that power our robotics data ecosystem.

You will tackle intermittent connectivity, large sensor payloads, and edge-to-cloud synchronization, while developing reusable SDKs, APIs, and services for onboarding new data sources.

Collaborate across teams to integrate with BI, ML pipelines, labeling systems, and CDC/ELT tooling, ensuring reliability and scalable operation.

Qualifications

  • Bachelor's or Master's degree in CS/Engineering or related field.
  • 3–5+ years of experience in data or backend engineering.
  • Strong programming in Python and SQL.
  • Experience with streaming systems (Kafka, Kinesis, Pub/Sub) and orchestration tools (Airflow or Dagster).
  • Experience with modern warehouses/lakehouses (BigQuery, Snowflake, Databricks, Redshift) and cloud storage at scale.
  • Experience building integrations across systems and CDC/ELT tooling (Fivetran, Airbyte, Debezium).
  • Experience in data quality: testing, monitoring, lineage, incident response.

Responsibilities

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

Skills

Data engineering
Backend engineering
Python
SQL
Problem-solving
Team collaboration

Education

Bachelor's or Master's degree in CS/Engineering

Tools

Kafka
Kinesis
Pub/Sub
Airflow
Dagster
BigQuery
Snowflake
Databricks
Redshift
Fivetran
Airbyte
Debezium

Job description

FieldAI in Irvine, CA is seeking a seasoned data/backend engineer to design and build the data platform and ingestion frameworks that power our robotics data ecosystem.

You will tackle intermittent connectivity, large sensor payloads, and edge-to-cloud synchronization, while developing reusable SDKs, APIs, and services for onboarding new data sources.

Collaborate across teams to integrate with BI, ML pipelines, labeling systems, and CDC/ELT tooling, ensuring reliability and scalable operation.

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