At Kalibri Labs, we are helping to redefine and rebuild the way performance metrics are viewed in the hotel industry. We are looking for passionate, energetic, and hardworking people with an entrepreneurial spirit, who dream big and challenge the status quo. We are working on cutting-edge solutions for the industry as they navigate the recovery process. We are using our big data coupled with machine learning and AI to help highlight the path forward. Kalibri Labs is growing, so if you’re ready to make a difference and utilize your talents across a groundbreaking organization, please keep reading!

We are growing fast and building a team of curious, driven, and forward-thinking problem-solvers. We dream big, challenge the status quo, and live in the intersection of data, technology, and service. We are seeking those that have similar ambitions. If this excites you, you’ll thrive here!

We are looking for an Analytics Engineer to build and scale our data infrastructure in a modern ELT technology stack. You’ll work in a cross-functional, agile team to construct data models that empower customers and stakeholders across product, customer success, and executive leadership.

Responsibilities

• Build and maintain dbt data models that transform raw data into reliable, actionable products for the business
• Implement and maintain a medallion-style architecture (bronze/silver/gold layers) data flows
• Write and maintain data tests and documentation to ensure and enforce data trustworthiness
• Collaborate with analysts and stakeholders to define business logic and KPIs
• Build, monitor, and improve data workflows with dbt Cloud, prefect, and snowflake
• Develop python-based transformations, scripts, and automation that scales team velocity against a product roadmap
• Develop analytics engineering standards to include testing, git-based VCS, CI/CD, data contracts, SLAs / SLOs, and code standards
• Actively communicate daily progress on a cross-functional team, identify & overcome impediments, and help teammates resolve emergent issues
  
  

Skills & Requirements

• 2–4 years of experience in a data analytics, analytics engineering, or data modeling role
• Superb analytical skills. Able to break down challenges into component parts and reconstruct to derive insights
• Demonstrated real-world proficiency writing complex, performant SQL transformations
• Hands-on experience building and maintaining dbt Core/Cloud models in a production environment to include model development, orchestration, documentation, and testing
• Confident working in modern cloud data platforms, ideally Snowflake
• Comfortable scripting integrations and automations with Python
• Experienced working with git in a CI/CD-based test and release environment
• Experience building or contributing to a semantic layer using dbt, BI tools, or metric layers
• Excellent written and verbal communication skills, including documenting logic and assumptions
  
  

Nice To Haves

• Bachelor’s Degree in a technical or quantitative field
• Experienced in a modern orchestrator such as Airflow, Dagster, or Prefect
  
  

The Benefits

• All positions are fully remote.
• We cover 75% of the cost of medical insurance premiums for employees & their dependents with three medical plans through Blue Cross, Blue Shield.
• We cover 75% of the cost of dental and vision insurance premiums for employees & their dependents.
• We provide a 50% 401k match of the first 6% of the employee's contribution (for a max of 3%).
• We also provide $50,000 of life insurance, Long-term disability and an Employee Assistance Program.
• All new hires receive a $250 allowance to help them set up their home office.
  
  

Compensation Range: $90K - $120K