About us
HBOX is a US Based Venture backed Digital Health Company. We enable Health Care Providers (HCP) to capture true Virtual Care Opportunities beyond Telehealth. We enable HCP to provide Proactive and Continuous Care and add new Recurring monthly revenue streams without any upfront cost. With our unique distribution and business model, we are seeing fast acceptance and great adaptation with our target customers.
We have built unique and Industry’s first Integrated Hardware, Cloud & AI Technologies based Virtual care Platforms for HCP Market. We are a US-focused Post revenue company with customers in 9 US States and growing fast. We provide an excellent opportunity to Innovate and work on cutting-edge product technologies in a very fast-moving dynamic and empowered environment.
Job brief:
We are looking for a Data Engineer who is ready to bridge the gap between academic theory and production-grade data pipelines. You don’t need a decade of experience; you need a rock-solid grasp of Python and SQL, a passion for automation, and the curiosity to figure out why a pipeline broke.
In this role, you will be mentored by senior engineers to build the "pipes" that power our company’s decision-making.
Responsibilities:
Build Data Flows: Write Python scripts to fetch, clean, and move data from various sources (Excels, APIs, CSVs, Databases) into our central warehouse.
Write SQL Transformations: Create structured tables using SQL to turn raw "noise" into clean, actionable data for our analysts.
Monitor & Troubleshoot: Learn to use industry-standard tools to monitor pipeline health and fix bugs in existing code.
Data Hygiene: Help maintain our data dictionary and documentation so everyone speaks the same "data language."
Shadow & Grow: Participate in architectural discussions and code reviews to learn how to build scalable, professional-grade systems.
Requirements
SQL Fundamentals: You can comfortably use JOINs, GROUP BY, and CTEs. You understand the difference between a Primary Key and a Foreign Key.
Python Proficiency: You can write scripts to automate repetitive tasks. You’ve used libraries like pandas, json, or requests in your projects.
Problem-Solving Grit: When code doesn't work, your first instinct is to dive into the logs, check Stack Overflow, and experiment until it clicks.
The "Builder" Portfolio: You have a GitHub or a project (school or personal) that demonstrates you can move data from Point A to Point B.
Communication: You can explain your technical logic clearly to both engineers and non-technical teammates.
