Data Platform Engineer

Level-FieldAI LLC

Irvine, CA, United States

1 day ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.careerbuilder.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Airflow BigQuery C++ (Programming Language) Cloud Computing Cloud Storage Computer Programming Information Engineering Data Files Programming Tools

+23 more

Middleware Issue Tracking Systems Python (Programming Language) Machine Learning Operational Data Store Performance Tuning SQL Databases Management of Software Versions Workflow Management Systems Scripting Power Platform Integration Snowflake Build Management Debezium Information Technology Apache Kafka Restful APIs Stream Processing Webhooks Lidar Amazon Redshift Databricks Web Api

Job description

Design and build the data platform, frameworks, and developer tooling that power ingestion across Field AI.
Handle the realities of field data: intermittent connectivity, large sensor payloads (LiDAR, camera, IMU), edge-to-cloud synchronization, and backfill from offline deployments.
Develop reusable ingestion SDKs, APIs, and services that enable teams to onboard new robotics data sources with minimal custom code.
Build and maintain integrations across heterogeneous sources: robot/edge systems, fleet management and deployment tooling, simulation outputs, and cloud object storage.
Integrate the platform with downstream consumers: BI tools, ML training and evaluation pipelines, labeling systems, and issue tracking.
Develop connectors and APIs (REST/gRPC, webhooks, CDC) so internal teams can feed data in and consume curated datasets reliably.
Own integration reliability end to end: schema contracts, versioning, retries, backfills, and monitoring.
Optimize pipeline performance, scalability, and cost across growing fleet deployments.

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 (C++, Scala, or Java a plus).
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: third-party APIs, internal services, and CDC/ELT tooling (Fivetran, Airbyte, Debezium, or custom connectors).
Experience building for data quality: testing, monitoring, lineage, and incident response.
Strong problem-solving skills and ability to work in interdisciplinary teams.

The Extras That Set You Apart

Experience with robotics, autonomy, automotive, or other telemetry-heavy operational data (bag files, fleet logs, time-series sensor data).
Familiarity with robotics middleware and log formats such as ROS/ROS2, MCAP, or rosbag., Application Programming Interface (API), Artificial Intelligence (AI), Business Intelligence Software, C++ Programming Language, Centers for Disease Control and Prevention (CDC), Cloud Computing, Cloud Storage, Computer Programming, Computer Science, Data Quality, Data Sets, Fleet Management, Incident Response, Java, Light Detection and Ranging (LiDAR)\Laser Detection and Ranging (LADAR), Machine Tool, Middleware, Performance Tuning/Optimization, Problem Solving Skills, Programming Tools, Python Programming/Scripting Language, REST (Representational State Transfer), Robotics, SQL (Structured Query Language), Scala Programming Language, Simulation, Systems Administration/Management, Team Player, Telemetry, Testing, Vehicle Fleets, Warehousing, Wheel/Front-End Loader