Software Engineer responsible for building shared data access libraries and event-driven data flows at Snorkel AI. Contributing to infrastructure optimization and data governance processes for enhanced performance.
Responsibilities
Build and maintain the shared data access library and SDKs that Platform, Packaging, and Dataset API teams use
Design and implement event-driven data flows using event brokers
Build the systems that track how data moves through the platform
Instrument the data platform with OpenTelemetry
Contribute to infrastructure cost visibility and optimization
Requirements
4+ years building platform infrastructure, data infrastructure, data platforms, or backend systems with significant data components
Strong proficiency in Python
Hands-on experience with SQL and at least two of: Snowflake, Redshift, Postgres
Experience with AWS — S3, RDS, EKS, EventBridge, IAM
Experience with Kubernetes
Familiarity with data orchestration tools (Prefect, Airflow, or Dagster) and transformation frameworks (dbt)
Understanding of data governance concepts — RBAC, PII handling, audit logging, data lineage
Fluency with AI-assisted development tools (Claude Code, Cursor, or similar)
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