Data Engineer — Orbital Data Pipelines
Core
Building the orbital data foundation for Heat Map, conjunction screening, CDM generation, Pc scoring, and Safety Zone products.
Role type
Data Engineer (Orbital Data Pipelines)
Builds
Ingestion, normalization, versioning, quality checks, lineage, and storage for TLEs, ephemerides, event data, and sensor/radar datasets.
Domain
Space operations / Orbital mechanics / Data engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, Spark, Glue, Databricks, Airflow, Step Functions, Data Factory, object storage, Parquet, Delta/Iceberg, batch/streaming architectures
Preferred skills
orbital data, telemetry, geospatial data, sensor data, scientific computing
Technologies
Space-Track, TLE sources, bronze/silver data lake, relational databases
Responsibilities
Build multi-source orbital data ingestion pipelines; Design bronze/silver data lake layouts; Implement deduplication, validation, provenance tagging, retry logic, throttling; Build ETL and canonicalization jobs; Implement data quality rules and lineage tracking; Support streaming ingestion and low-latency update pipelines.
Seniority
Mid-level, hands-on IC
