Senior Data Engineer
Core
Design and manage scalable data infrastructure and pipelines to support AI/ML maintenance, sustainment, and deployment planning for aircraft availability.
Role type
Senior Data Engineer (AI/ML Infrastructure)
Builds
Production-grade data models, fault-tolerant batch and real-time pipelines, and cloud-native data solutions.
Domain
Aerospace maintenance, AI/ML, Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Advanced data modeling (star/snowflake, data vault), Distributed processing (Kafka, Spark, Flink), Cloud data platforms (AWS, GCP, Azure), Python (ETL, OOP), SQL/NoSQL optimization, CI/CD automation, Data governance frameworks.
Preferred skills
Dimensional modeling, Schema evolution, Serverless patterns, ML orchestration (MLflow, Kubeflow), Feature stores.
Technologies
Redshift, Snowflake, BigQuery, Apache Kafka, Airflow, Spark, Flink, NiFi, AWS Glue, GCP Dataflow, Azure Data Factory, Hadoop, Presto, Trino, Delta Lake, Apache Iceberg, Hudi, GitLab, Jenkins, CircleCI, MLflow, Kubeflow, Tableau, Power BI.
Responsibilities
Design advanced data models for OLTP/OLAP workloads; Build and orchestrate high-throughput batch and real-time pipelines; Optimize cloud data ecosystems and manage data lakes/warehouses; Tune SQL/NoSQL queries and database performance; Implement data governance, security, and compliance frameworks; Mentor junior engineers and lead cross-functional projects.
Seniority
Senior, hands-on IC with leadership
