Responsibilities
Pipeline development: Build and maintain the ingest and transformation pipelines that land aircraft telemetry from S3 into the flight data warehouse (AWS Glue, Athena), including schema evolution as firmware logging changes.
Data modeling: Design and maintain curated marts — flight runs, component flight hours, vehicle modes, battery flight features — in SQL, with clear grain, documented lineage, and idempotent incremental refresh.
Fleet alerting services: Develop and operate the Python services that evaluate flight-by-flight health checks and deliver alerts to engineering and customer-facing channels via SNS and Slack.
Data quality: Own the automated quality gates — mart freshness, source-to-mart reconciliation, and watermark integrity — and block deploys that would publish incorrect fleet data.
Analytics enablement: Build the dashboards and query interfaces engineering teams use to monitor the fleet, and convert repeated one-off analyses into supported datasets.
- Collaboration: Work directly with firmware, GNC, battery, systems engineering, flight operations, and MRO to define what gets logged, what gets alerted on, and what “good” looks like for each signal.
- Qualifications
- Bachelor’s degree in Computer Science, Computer/Electrical Engineering, or a related technical discipline
3+ years of professional data engineering experience building and operating production pipelines
Strong SQL, including window functions and query tuning on a distributed, columnar engine (Athena/Trino/Presto, Spark, Snowflake, or BigQuery)
Proficient in Python for production services — not just notebooks: packaging, dependency management, unit tests, and code review
Hands-on experience with the AWS data stack: S3, Glue, Athena, Lambda, SNS, CloudWatch, and IAM
Dimensional modeling and warehouse design, including partitioning strategy for large tables
- Excellent analytical and written communication skills, with the ability to work across multidisciplinary teams
- Preferred Qualifications
- 5+ years of relevant data engineering experience, including ownership of an on-call or operationally critical data system
Infrastructure as code with Terraform, and building deployment pipelines in GitLab CI or equivalent
Transformation frameworks such as dbt, and data quality/testing frameworks
- High-volume time-series or sensor telemetry, and observability tooling (Grafana, CloudWatch, or similar), including alert design that avoids alarm fatigue
- Familiarity/experience with one or more of the following
- Aerospace, automotive, or robotics telemetry and flight/vehicle test data
Embedded logging formats and decoding raw device logs (CAN, serial, or proprietary binary packet formats)
FAA aircraft certification or continued airworthiness processes
Interest in RC planes, quadcopters, or aviation
