Data Engineer

Bloomerang

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.

Posted 7/20/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $90,800 - $151,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing enterprise data warehouse solutions, with a strong focus on data migration, ETL/ELT pipeline development, and data governance. Proficient in SQL, Python, and modern cloud data platforms, ensuring high data quality and effective cross-functional collaboration.

Highest-signal resume keywords

Data Warehouse DevelopmentSQL ExpertiseETL/ELT Pipeline DevelopmentData GovernanceCloud Data Platforms

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data EngineeringData Warehouse DesignDimensional ModelingData Pipeline DevelopmentSQLPythonETL ToolsELT ToolsData Quality MonitoringData Architecture

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsCollaborationMentoring

Tools & Technologies

DatabricksGoogle BigQuerySnowflakeRedshiftSalesforceMySQLPostgreSQLGoogle Cloud PlatformVersion ControlCI/CD Practices

Industry Keywords

Enterprise Data WarehouseData Governance StandardsBusiness IntelligenceSaaSTechnology Company

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudETLGoogle Cloud PlatformMySQLPostgresPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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.