Kalibri Labs

Data Engineer

• Design, build, and maintain production data pipelines using Python, Prefect, Airflow, Jenkins or any other orchestration framework multi-phase algorithmic workflows.
• Build and optimize advanced SQL transformations in Snowflake, including window functions, CTEs, stored procedures, UDFs, and semi-structured data processing.
• Build and maintain dbt models for data transformation, identity resolution, and slowly changing dimension (SCD Type 2) tracking across 80+ models and multiple pipeline stages.
• Build and maintain feature engineering pipelines that feed ML models including CatBoost gradient boosting, Prophet time-series decomposition, LightGBM regression, and PuLP linear programming solvers.
• Operationalize ML model outputs by integrating predicted ADRs, occupancy forecasts, and optimization results into downstream production tables and Parquet file outputs.
• Integrate and reconcile data from multiple heterogeneous sources including hotel property management systems, rate shop providers, mapping APIs, and market forecast data.
• Work with PySpark for large-scale daily distribution processing, managing partitioning strategies, memory tuning, and efficient Parquet I/O across millions of records.
• Implement and monitor data quality frameworks such as DBT and Monte Carlo.
• Manage CI/CD pipelines using Bitbucket Pipelines for automated testing, linting (SQLFluff), and deployment of dbt projects and Python applications.
• Containerize pipeline components with Docker for consistent execution across development and production environments.
• Implement robust retry logic, error handling, and fallback strategies across pipeline phases to ensure reliable daily and monthly production runs.

Machine Learning Data Engineer

Sales Development Rep

• Prospect and engage target accounts via calls, email, and social outreach
• Qualify prospects and set meetings for AEs with clear notes and next steps
• Run follow-ups and nurture early-stage leads
• Maintain accurate Salesforce activity, notes, and pipeline tracking
• Collaborate with Sales/Marketing on messaging tests and feedback loops
• Track performance metrics and continuously improve conversion rates

Machine Learning Data Engineer

Sales Development Representative