Autonomy Data Platform Engineer for Robotics

Medium; Irvine (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

Medium is seeking a data/platform engineer in Irvine to design and build ingestion pipelines and developer tooling for Field AI. You will tackle intermittent connectivity, large sensor data, and edge-to-cloud synchronization, creating reusable SDKs, APIs, and services to onboard new robotics data sources.

You will work with streaming systems like Kafka, Kinesis, and Pub/Sub, use Airflow or Dagster for orchestration, and build integrations with BigQuery, Snowflake, Databricks, and Redshift at

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related technical field.
• 3–5+ years of experience in data engineering or backend engineering focused on pipelines and infrastructure.
• Proficiency in Python and SQL; strong understanding of streaming systems and ETL tooling.

Responsibilities

• Design and build the data platform, frameworks, and developer tooling for ingestion across Field AI.
• Handle field data with intermittent connectivity, large sensor payloads, and edge-to-cloud sync.
• Develop reusable ingestion SDKs, APIs, and services to onboard new robotics data sources.

Skills

Python

SQL

Kafka

Kinesis

Pub/Sub

Airflow

Dagster

BigQuery

Snowflake

Databricks

Redshift

CDC/ELT tooling

Fivetran

Airbyte

Debezium

Testing

Monitoring

Teamwork

Education

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

Tools

Airflow

Dagster

Fivetran

Airbyte

Debezium

Job description

Medium is seeking a data/platform engineer in Irvine to design and build ingestion pipelines and developer tooling for Field AI. You will tackle intermittent connectivity, large sensor data, and edge-to-cloud synchronization, creating reusable SDKs, APIs, and services to onboard new robotics data sources.

You will work with streaming systems like Kafka, Kinesis, and Pub/Sub, use Airflow or Dagster for orchestration, and build integrations with BigQuery, Snowflake, Databricks, and Redshift at