Data Engineer
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Job Description
Data Engineer on the Finance team at Bloomerang, leading enterprise data warehouse design and migration. Collaborating with cross-functional teams to ensure data quality and governance across analytics.
Responsibilities:
- 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
Requirements:
- 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:
- You’ll have access to generous health, vision, and dental insurance options as well as HealthiestYou, a healthcare service that offers convenient, confidential access to quality doctors 24/7, anytime, anywhere.
- 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. More is more!
- You'll receive a 401k match to help invest in your future.
- Everything you need to be successful, shipped right to your door. You got this. We got you.
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