**What you will do** - Assess census/eligibility, medical, and Rx claims; - Map the incoming data dictionaries to our data dictionary; - Merge information into the dataset for analysis; - Assist in a QA capacity by checking that the calculations throughout our platform are accurate; - Write automated tests and link them with AzureTest Plans. **Must haves** - BI Engineer requirements: - Core skills in Azure, Python and Postgres; - Preferred experience with Tableau/PowerBI for optimization recommendations; - Responsibilities include assessing census/eligibility, medical, and Rx claims data; - Existing team composition includes a Machine Learning Engineer handling backend activities; - Seeking professionals with versatility and ability to manage multiple responsibilities; - Data characteristics: - Average dataset size: 1GB of medical information; - Primary data transfer method: SFTP; - Technical infrastructure: - Custom-built graph model platform for relationship mapping and client-specific solutions; - Implemented machine learning capabilities, focusing on predictive analytics and recommendation engines; - Established data pipeline with significant automation via custom scripting; - Data sources include third-party pharmacies; - Azure Cloud utilized for all infrastructure needs; - Upper-intermediate English level. **The benefits of joining us** - **Professional growth** Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps - **Competitive compensation** We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities - **A selection of exciting projects** Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands - **Flextime** Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office - whatever makes you the happiest and most productive. **Job Types**: Full-time, Contract