Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
About the Role
The BI & Data team provides in-depth analysis, placing data and insights at the core of decision-making. This team comprises engineers, product managers, and analysts across the U.S., specializing in data architecture, visualization, and analysis.
Responsibilities
- Design, develop, and maintain Snowflake data models for business metrics, reporting, and analytics.
- Partner with stakeholders to translate operational definitions and KPIs into reliable, well-documented data structures.
- Build and maintain dbt models for the core metrics layer, ensuring accuracy, consistency, and reusability.
- Manage and evolve the Snowflake data warehouse, including schema design, performance optimization, and data organization best practices.
- Collaborate with analytics and BI teams to support self-serve reporting and business review cadences.
- Contribute to data modeling standards and best practices for team scalability.
- Participate in strategic data architecture discussions and evaluate build vs. buy trade-offs.
Requirements
- 5+ years of experience in a data engineering or analytics engineering role.
- Strong SQL proficiency and hands-on Snowflake experience, including warehouse management, query optimization, and data modeling.
- Experience with dbt (Core or Cloud) for building and maintaining modular, tested transformation pipelines.
- Ability to work with business stakeholders to define and implement metrics and data definitions.
- Solid understanding of dimensional modeling, data vault, or other warehouse modeling approaches.
- Experience with workflow orchestration tools such as Airflow, Dagster, or Prefect.
- Hands-on experience with AWS data services: S3, MWAA, and CloudWatch.
- Ability to translate ambiguous business requirements into structured data models.
- Bachelor's degree in Computer Science, Engineering, Math, or a related field, or equivalent practical experience.
Skills
- SQL
- Snowflake
- dbt (Core or Cloud)
- Dimensional modeling
- Data vault
- Airflow
- Dagster
- Prefect
- AWS S3
- AWS MWAA
- AWS CloudWatch
- Google Workspace
- GMail
- Google Drive
- Google Docs
- Google Sheets
- Google Slides
- Slack
- Confluence
- Jira
- Zoom Video
- Data architecture
- Data visualization
- Data analysis
Location
- Remote
- Denver, Colorado
- New York, New York
- Dallas, Texas
- Lisbon, Portugal
Work Type
- Remote
Experience Level
- 5+ years of experience
Education Level
- Bachelor's degree in Computer Science, Engineering, Math, or a related field
- Equivalent practical experience
Salary/Compensations
- Base Salary: $160,000 - $174,000
- Total Target Compensation (TTC): $176,000 - $191,400
Benefits
- Stock options
- Paid benefits
- Employee perks
About the Company
- Cleerly is a healthcare company revolutionizing heart disease diagnosis, treatment, and tracking.
- Founded in 2017 by a leading cardiologist, the company has a growing team of world-class professionals.
- Raised $223M in Series C funding in 2022 and an additional $106M in Series C extension funding in December 2024, enabling rapid growth.
- Created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions to help prevent heart attacks.
- Technology quantifies and characterizes atherosclerosis (plaque buildup) in heart arteries, going beyond traditional measures.
- Solutions are supported by over a decade of large clinical trials identifying findings beyond symptoms that increase heart attack risk.
- Committed to providing safe and effective medical software that meets customer needs and regulatory requirements.
- Focuses on continually improving products and processes, proactively managing risks, and ensuring ongoing compliance.
- Core Values: Humility, Excellence, Accountability, Remarkable, Teamwork.
Equal Opportunity
- Our company is an Equal Opportunity Employer.
- We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.
- We value experience, whether gained formally or informally on the job or through other experiences.