Data Engineer

What You Will Do

• Lead the end-to-end design, development, and implementation of enterprise data warehouse solutions supporting corporate analytics
• Own the migration and refactor of Bloomerang’s data warehouse from Google BigQuery to Databricks, supporting all internal analytics use cases
• Establish and maintain data warehouse standards, guidelines, and best practices across the organization
• Design and build scalable ETL and ELT pipelines that ingest, transform, and integrate data from internal systems, including MySQL, PostgreSQL, Salesforce, and more
• Work closely with analytics engineers to develop dimensional data models and enterprise data architecture that support reporting and business intelligence needs across the company
• Partner with cross-functional stakeholders to translate business requirements into scalable, well-governed data solutions
• Build automated data quality monitoring, validation, and governance processes to ensure accuracy and reliability of enterprise data
• Optimize data warehouse performance, reliability, and cost across cloud environments
• Create and maintain documentation for data architecture, pipelines, and data warehouse standards
• Mentor team members and collaborate with engineering on data warehouse best practices

What You Need to Succeed

• 3-5 years of experience in data engineering or data warehouse development, ideally with experience leading enterprise data warehouse implementations
• Hands-on experience migrating or working across modern cloud data warehouse platforms (e.g., BigQuery, Snowflake, Redshift); Databricks experience preferred
• Expert-level SQL skills and strong data modeling capabilities for complex querying, transformation, and enterprise reporting
• Experience with modern ETL and ELT tools and practices
• Strong understanding of dimensional modeling, data warehouse design patterns (star and snowflake schema), and enterprise data architecture
• Experience establishing data governance, standards, and best practices for a growing organization
• Proficiency in Python or similar programming languages for data pipeline development
• Experience integrating with core business systems and APIs, including Salesforce, MySQL, and PostgreSQL
• Familiarity with cloud platforms (preferably Google Cloud Platform) and modern data stack tools
• Experience with version control, CI/CD practices, and collaborative development workflows
• Strong analytical and problem-solving skills with close attention to data quality and accuracy
• Excellent communication skills and the ability to lead cross-functional collaboration in a fast-paced, growing organization
• Experience working in a SaaS or technology company is a plus, but not required

Benefits & Compensation

The salary range for this position is $90,800 - $151,400. You may also be eligible for a discretionary bonus. Actual compensation within the range will be dependent on your skills, experience, qualifications, and location.

You'll get a competitive PTO package that includes 20 PTO days, 3 flex days, 4 optional volunteer days, 12 paid holidays, as well as paid parental leave. 401k match, health/vision/dental insurance, and equipment provided.