Build and maintain data pipelines with PySpark, Python, and dbt for billions of records.
Improve customer integrations with tooling to speed onboarding.
Adopt AI tooling like LLM-assisted cleaning, semantic validation, and anomaly detection.
Collaborate across product, engineering, and GTM to deliver data solutions.
Optimize ETL runtimes and scalability to speed integrations.
Resolve data quality issues by working with messy customer data to extract signals.

🎯 Requirements

2+ years building ETLs/data workflows with Python, PySpark, or SQL.
Experience turning messy data into structured, usable datasets.
Experience identifying automation to simplify workflows.
Experience or interest in Databricks, Snowflake, and dbt.
Strong problem-solving; works with ambiguous requirements to deliver impact.
Collaborative and communicative across teams.

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