Data Engineer

At Bloomerang, we believe change happens on purpose. We champion the power and potential of nonprofits, igniting next-level impact with the team and technology built for purpose. Our powerful giving platform and stellar support enable tens of thousands of nonprofits to raise more, recruit more, and retain more, fueling maximum impact and raising the bar on what’s possible for the nonprofit sector. That's why, even as the nonprofit sector sees declines in giving, Bloomerang customers raise more year over year.

We're also in the business of creating thriving employees. Join a mission-driven culture built on our core values of Simplify, Care and Act. We know our people are the key to our success, and we're proud to be home to some of the most innovative and skilled individuals in the workforce today. Come feel invigorated and unstoppable with us!

The Role

As a Data Engineer on the Finance team, you’ll lead the end-to-end design, implementation, and maintenance of Bloomerang’s enterprise data warehouse. This role blends traditional data engineering with data warehouse development, giving you ownership over how the organization’s internal data is structured, governed, and delivered. You’ll drive the migration and refactor of our current data warehouse from Google BigQuery to Databricks, powering all internal analytics across Bloomerang. You’ll also establish the data warehouse standards and guidelines that shape how every team builds on top of our data platform going forward. You’ll partner with cross-functional stakeholders across Finance, Sales, Marketing, Customer Success, and People to turn business questions into reliable, well-modeled data.

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 agrowing organization

Proficiency in Python or similar programming languages for data pipelinedevelopment

Experience integrating with core business systems and APIs, including Salesforce,MySQL, and PostgreSQL

Familiarity with cloud platforms (preferably Google Cloud Platform) and moderndata stack tools

Experience with version control, CI/CD practices, and collaborative developmentworkflows

Strong analytical and problem-solving skills with close attention to data qualityand 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

Health + Wellness 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. 

Time Off 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!

401k You'll receive a 401k match to help invest in your future.

Equipment Everything you need to be successful, shipped right to your door. You got this. We got you.

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, as well as applicable employment laws

Location This is a permanent, full-time, fully remote position (within the U.S. and select Canadian Provinces only). Employees living in Indianapolis, IN are welcome to work from our company headquarters. We do not offer Visa sponsorship or relocation assistance at this time.

Accommodations Applicants who require accommodations may contact careers@bloomerang.com to request an accommodation in completing an application.

Bloomerang is an Equal Opportunity Employer. Individuals seeking employment at Bloomerang are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.