Senior Data Engineer, Data Platform
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As a Senior Data Engineer on the Data Platform team, you will build and own the core data foundations that power analytics, experimentation, and decision-making.
You will design foundational data models, scalable pipelines, and platforms that enable self-serve analytics and trustworthy insights at scale.
Partner with Growth, Product, Sales, Marketing, Data Insights, and Engineering to translate business needs into trusted data products.
You will influence data collection and logging standards across production systems and establish best practices for data modeling, quality, and governance.
Implement data quality checks, statistical validation, and anomaly detection while providing technical leadership to improve data reliability and literacy.
5+ years of experience in data engineering with Python, SQL, cloud data warehouses (Snowflake, BigQuery, or Databricks), and experience building ETL/ELT pipelines using Airflow or dbt on AWS.
You will design foundational data models, scalable pipelines, and platforms that enable self-serve analytics and trustworthy insights at scale.
Partner with Growth, Product, Sales, Marketing, Data Insights, and Engineering to translate business needs into trusted data products.
You will influence data collection and logging standards across production systems and establish best practices for data modeling, quality, and governance.
Implement data quality checks, statistical validation, and anomaly detection while providing technical leadership to improve data reliability and literacy.
5+ years of experience in data engineering with Python, SQL, cloud data warehouses (Snowflake, BigQuery, or Databricks), and experience building ETL/ELT pipelines using Airflow or dbt on AWS.
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