# Data Engineer

**Company:** [Bloomerang](https://hotfix.jobs/companies/bloomerang)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $91k – $151k/yr
**Experience:** 3+ years
**Skills:** SQL, Python, Databricks, BigQuery, ETL, ELT, Data Modeling, dimensional modeling, Data Governance, Salesforce, MySQL, Postgres, GCP, CI/CD
**Posted:** 2026-07-20

> Data Engineer on the Finance team leading the design, build, and migration of Bloomerang's enterprise data warehouse from BigQuery to Databricks. Requires 3-5 years data engineering experience, expert SQL, Python, dimensional modeling, ETL/ELT, and data governance skills.

## Job Description

## 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.

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