Senior Data Engineer, Analytics

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5+ years of experience implementing and scaling DBT in a team setting and growth environment.
5+ years experience production data modeling utilizing key data warehousing techniques on cloud infrastructure such as Databricks Delta, Snowflake, Redshift, BigQuery or other cloud-based platform.
Very strong understanding of advanced concepts in SQL including under-the-hood performance implications.
Familiarity with Spark or similar distributed data processing technologies.
A track record of building data pipelines on CI/CD such as Github Actions or CircleCI with well-tested pipelines, proactive alerting, and strong data quality standards.
Familiarity with integrating AI and automation tools (e.g., GitHub Copilot, Natural Language Query tools) to enable you to move faster and deliver higher quality code.
Skilled in data visualization platforms such as Looker, Tableau, Power BI, or similar tools, with a strong preference for Omni — experienced in both building dashboards and enabling business users to self-serve effectively.
Self service capabilities in git.
Experience in Python is a bonus.
Experience with Prefect, Dagster, Airflow or other DAG tools is a bonus.
Experience with subscriptions and/or Ecommerce is a bonus.