Build and maintain dataset ingestion, cleaning, and versioning pipelines
Design and operate labeling workflows, including QC and inter-annotator tracking
Own dataset testing: coverage, class balance, leakage detection, docs
Manage dataset versioning and lineage for model releases
Partner with data science and product teams on data sharing and formats

🎯 Requirements

3+ years data engineering experience; strong Python and SQL
Experience with data versioning tools (DVC, LakeFS) and orchestration (Airflow, Dagster)
ML data concerns: train/test leakage, label noise, distribution shift
Rigor in documentation and reproducibility
Collaborate with data science and product teams on data sharing

🎁 Benefits

Innovative cybersecurity environment
Collaborative culture
Professional growth opportunities
Impactful work protecting data and assets
Fun and dynamic atmosphere

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