Data Platform Engineer (Robotics)

Location: Irvine, California, United States; on-site

Company

hirify.global develops robotics and autonomy systems supported by data-intensive engineering platforms.

What you will do

• Design and build data platforms, ingestion frameworks, and developer tooling used across the organization.
• Develop reusable ingestion SDKs, APIs, and services for onboarding robotics data sources with minimal custom code.
• Handle intermittent connectivity, large LiDAR, camera, and IMU payloads, edge-to-cloud synchronization, and offline deployment backfills.
• Build integrations across robot and edge systems, fleet management, deployment tooling, simulation outputs, and cloud object storage.
• Connect curated datasets to BI tools, ML training and evaluation pipelines, labeling systems, and issue-tracking platforms.
• Own integration reliability, including schema contracts, versioning, retries, backfills, monitoring, performance, scalability, and cost optimization.

Requirements

• 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 focused on pipelines and infrastructure.
• Strong programming skills in Python and SQL.
• Production experience with streaming systems such as Kafka, Kinesis, or Pub/Sub, plus Airflow or Dagster.
• Experience with modern warehouses or lakehouses such as BigQuery, Snowflake, Databricks, or Redshift, and cloud object storage at scale.
• Experience building integrations, CDC/ELT tooling, data-quality testing, monitoring, lineage, and incident response.

Nice to have

• Experience with robotics, autonomy, automotive, telemetry-heavy operational data, bag files, fleet logs, or time-series sensor data.
• Familiarity with ROS/ROS2, MCAP, or rosbag.
• Experience with C++, Scala, or Java.

Culture & Benefits

• Full-time engineering role in the Product Engineering department.
• On-site work in Irvine, California.
• Collaboration with interdisciplinary engineering teams.