{"id":624253,"url":"https://alion.io/job/fieldai-data-platform-engineer-autonomy-analytics","title":"Data Platform Engineer, Autonomy Analytics","company":{"id":672883,"name":"FieldAI","domain":"fieldai.com","url":"https://alion.io/company/fieldai","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":88,"open_postings":91,"ghost_share":0,"stale_share":0.264,"repost_share":0,"time_to_fill_p50_days":61,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Irvine, United States","Peoria, United 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heterogeneous sources: robot/edge systems, fleet management and deployment tooling, simulation outputs, and cloud object storage.\nIntegrate the platform with downstream consumers: BI tools, ML training and evaluation pipelines, labeling systems, and issue tracking.\nDevelop connectors and APIs (REST/gRPC, webhooks, CDC) so internal teams can feed data in and consume curated datasets reliably.\nOwn integration reliability end to end: schema contracts, versioning, retries, backfills, and monitoring.\nOptimize pipeline performance, scalability, and cost across growing fleet deployments.\nWhat You Have\nBachelor's or Master's degree in Computer Science, Engineering, or a related technical field.\n3-5+ years of experience in data engineering or backend engineering focused on pipelines and infrastructure.\nStrong programming skills in Python and SQL (C++, Scala, or Java a plus).\nProduction experience with streaming systems (Kafka, Kinesis, Pub/Sub) and orchestration tools such as Airflow or Dagster.\nExperience with a modern warehouse or lakehouse (BigQuery, Snowflake, Databricks, Redshift) and cloud object storage at scale.\nExperience building integrations across systems: third-party APIs, internal services, and CDC/ELT tooling (Fivetran, Airbyte, Debezium, or custom connectors).\nExperience building for data quality: testing, monitoring, lineage, and incident response.\nStrong problem-solving skills and ability to work in interdisciplinary teams.\nThe Extras That Set You Apart\nExperience with robotics, autonomy, automotive, or other telemetry-heavy operational data (bag files, fleet logs, time-series sensor data).\nFamiliarity with robotics middleware and log formats such as ROS/ROS2, MCAP, or 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