Data Engineer

📋 Description

• Lead end-to-end data warehouse design and implementation for analytics.
• Migrate data warehouse from BigQuery to Databricks for internal analytics.
• Establish and maintain data warehouse standards and best practices.
• Design and build scalable ETL/ELT pipelines from MySQL, PostgreSQL, Salesforce.
• Collaborate with analytics engineers on dimensional models and architecture.
• Partner with stakeholders to translate requirements into scalable data solutions.

🎯 Requirements

• 3-5 years in data engineering or data warehouse development.
• Hands-on with cloud data warehouses (BigQuery, Snowflake, Redshift); Databricks preferred.
• Expert SQL and data modeling for enterprise reporting.
• Experience with modern ETL/ELT tools and practices.
• Strong dimensional modeling and data warehouse patterns (star/snowflake).
• Experience establishing data governance and standards for a growing organization.

🎁 Benefits

• Health + Wellness: medical, vision, dental; HealthiestYou.
• Time Off: PTO, flex days, volunteer days, holidays, parental leave.
• 401k: employer match.
• Equipment: everything you need shipped to your door.
• Accommodations: contact careers@bloomerang.com for accommodation requests.