Build and operate internal data platforms, services, and distributed workflow systems (Temporal
Write and maintain internal Python libraries (including shared Airflow operators and frameworks)
Build and operate Temporal-based workflow systems for long-running, reliable distributed data
Build internal data platform applications, including config-driven UIs
Own cost governance across Snowflake, dbt Cloud, Airflow, and Kafka
Administer Snowflake at depth: role hierarchy design, RBAC, data masking, network policies

🎯 Requirements

4+ years of experience in software engineering
Strong proficiency in at least one programming language such as Go or Python
Experience building and maintaining backend systems, internal tools, or platform applications in
Strong understanding of software engineering fundamentals: data structures, algorithms
Strong understanding of software development best practices: CI/CD, automated testing, code review
Proficiency in SQL and data modeling

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