Staff Data Engineer
Core
Design, build, and maintain scalable batch and streaming data processing, storage, and integration pipelines for cybersecurity and predictive maintenance in defense and commercial fleets.
Role type
Staff Data Engineer
Builds
Data processing pipelines, storage solutions, and integration layers for OT cybersecurity and fleet readiness products.
Domain
Cybersecurity / Operational Technology (OT) / Defense & Commercial Fleets
Deliverable
production ML models | infrastructure
Required skills
Software engineering practices, GoLang/Java/Python, relational databases (PostgreSQL/MySQL/Oracle), Big Data (Hadoop/Spark), data modeling, containerization (Docker/Kubernetes), cloud monitoring, batch/streaming pipelines (Apache Airflow/Benthos)
Preferred skills
Data lakes/warehouses (Snowflake/Databricks/Redshift), CI/CD, Rust, SDK design, code generation
Technologies
Apache Airflow, Benthos, Docker, Kubernetes, AWS, PostgreSQL, MySQL, Oracle, Hadoop, Spark, Snowflake, Databricks, Redshift, Rust, Go, Java, Python
Responsibilities
Design and build robust, scalable data pipelines; take full ownership of features from requirements to implementation; write clean, scalable, testable code; partner with data scientists to create semantic data models; build scalable data products for stakeholders; optimize cloud solutions for cost and efficiency; analyze data sets to verify quality and integrity; support field integration and deployment.
Seniority
Staff, hands-on IC with strategic influence