Senior Autonomy Data Infrastructure and Analytics Software Engineer
Tasks
- Build analysis platform for trustworthy metrics
- Create flight physics analysis pipelines
- Define data stewardship
- Define evaluation frameworks
- Design ingestion pipeline
- Develop data augmentation scripts
- Develop offline replay tooling
- Develop scheduling and execution engine for batch jobs
- Investigate anomalies and edge cases
- Monitor system health and performance
- Provide tools apis and dashboards for evaluation
- Transform flight data into queryable databases
Perks/Benefits
- 401k matching
- Employee stock purchase plan
- Healthcare benefits
- Life insurance
- Long-term disability
- Paid time off
- Short-term disability
Skills/Tech-stack
AWS | Airflow | Azure | Batch Processing | C++ | CI/CD | Data Modeling | Data Pipelines | Data Processing | Databases | Databricks | Distributed Systems | GCP | Git | High Throughput | Kubeflow | Kubernetes | Linux | MLOps | MLflow | Python | Query engine | Ray | SQL | Sensor Data Processing | Sensor data | Spark | Streaming processing | Temporal | Terraform | Time Series | Time-series databases | Workflow Orchestration
Education
N/A
Roles
Regions
Countries
States
Cities
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