Overview
Qsight is a high-growth division of Guidepoint focused on building data intelligence solutions for the healthcare sector. Qsight leverages proprietary datasets and rigorous analysis of alternative data sources to generate actionable insights for top-tier institutional investors, medical device manufacturers, and pharmaceutical companies. The Qsight team develops market intelligence products that are highly relevant, accurate, and scalable, delivering clear insights to clients worldwide.

We’re looking for a hands-on Software Engineer - IV to own and evolve the Python-based workflows and applications that power our data platform. You’ll be close to the code, close to the business, and influential in how we build: shipping production systems, improving legacy workflows, setting practical engineering patterns, and helping the team move faster with greater confidence. The right person combines deep Python expertise, strong architectural judgment, and a bias for solving real problems with reliable, maintainable software.

This is a remote opportunity, and an




ideal candidate will be able to overlap with the EST Time Zone until 10.00 PM IST
What You'll Do:

*Build and maintain data applications*
- Build production-grade Python applications and integrations that automate critical business workflows.
- Own and improve Python-based ETL frameworks, Airflow DAGs, and orchestration patterns.
- Integrate internal and external systems, including Snowflake, DynamoDB, CRM platforms, ecommerce platforms, and third-party APIs.
- Ensure critical workflows are observable, reliable, testable, and maintainable.

*Modernize the Platform*
- Modernize legacy ETLs using pragmatic refactoring, reusable libraries, and AI-assisted development where appropriate.
- Establish data quality patterns and frameworks, including tools such as Outstanding Expectations.
- Improve testing, deployment, and operational practices for Python-based data workflows.
- Identify and reduce technical debt in the d

📌 Senior Software Engineer – Python, Data Platform (Pune Division)
🏢 Guidepoint
📍 Pune Division