Analytics Engineer

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.