Data Engineer
- Architect, build, and optimize our data processing systems to ensure reliability, efficiency, and scalability
- Develop and optimize ETL processes, data models, and data architectures for data transformation, structures, metadata, and workload management
- Develop and maintain data models that support analytics, reporting, and custom app development
- Create robust data quality observability, monitoring, testing, and validation frameworks
- Engage actively with analytics teams and business stakeholders to understand their data needs, ensuring the data architecture supports decision-making processes effectively
- Support the integration of data systems with aircraft telemetry, flight testing, and operational systems
- Bachelor’s or Master’s degree in Computer Science, Aerospace Engineering, Data Analytics, or a related field
- At least 3 years experience in data or software engineering with background implementing best practices for SQL and programming languages (e.g. Python, Go, Rust)
- Experience designing and managing data warehouse / lakehouse architectures for high performance and low latency
- Led development of real-time data pipelines using Kafka or related technologies
- Expertise with one or more cloud data platforms (e.g., AWS, GCP, Azure)
- Deep understanding of data security and quality governance
- Deployed and scaled data workloads using Docker and Kubernetes, with the ability to manage compute resources for high-volume processing
- Familiarity with ERP systems and how to extract data to build custom tools & applications
- Knowledge of integrating Gen AI into production data workflows
- Exceptional analytical skills, attention to detail, and the ability to collaborate effectively across multidisciplinary teams
- Clear communication skills that are essential for working across diverse stakeholders
- Solid foundation in machine learning and other data science fundamentals
- Familiarity with time series data applications and related technologies
- Experience with Infrastructure as Code (Terraform, CloudFormation)
- Advanced skills in predictive analytics and machine learning models for maintenance and anomaly detection
- Experience in aerospace or a related field, particularly with flight test data analysis and aircraft health monitoring
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