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 Great Expectations.
- Improve testing, deployment, and operational practices for Python-based data workflows.
- Identify and reduce technical debt in the data platform.
Provide Technical Leadership
- Define Python architecture standards and engineering practices for data platform work.
- Mentor engineers and raise the quality of Python development across the data organization.
- Partner with analysts, data scientists, and data engineers to make their code more production-ready.
- Translate ambiguous business needs into durable technical solutions.
What You Have:
- 6-9 years of professional software development experience.
- Strong hands-on expertise in building and maintaining Python applications in critical production environments.
- Proven experience with data-driven applications, ETL workflows, data pipelines, or platform integrations.
- Deep understanding of Python development best practices, including application structure, testing, packaging, error handling, observability, and maintainability.
- Strong proficiency with SQL and relational data modeling concepts.
- Experience working in Agile software development environments.
- Strong ownership mindset, sound technical judgment, and ability to operate independently on complex problems.
- Ability to mentor engineers, influence stakeholders, and communicate technical tradeoffs clearly.
Preferred Qualifications
- Experience with Snowflake or comparable modern cloud data warehouse platforms.
- Familiarity with Airflow or other workflow orchestration tools.
- Knowledge of modern data architecture patterns, data quality frameworks, and data platform engineering practices.
- Experience using AI-assisted development workflows
What We Offer:
- Competitive compensation
- Employee medical coverage
- Central office location
- Entrepreneurial environment, autonomy, and fast decisions
- Casual work environment
About Guidepoint
Guidepoint powers end-to-end research workflows for the world’s best research teams.
Backed by a global network of more than 2 million experts and over 1,600 employees, Guidepoint delivers real-time access to expertise, primary research, and actionable knowledge that help organizations make informed decisions. Through consultations, surveys, events, proprietary content, and AI-enabled tools, we support every stage of the decision-making process—from developing hypotheses and gathering insights to validating assumptions and building conviction for critical decisions.
At Guidepoint, our success relies on the diversity of our employees, experts, and clients, which enables us to foster meaningful connections and a broad range of perspectives. We are committed to creating an inclusive and welcoming environment where individuals of all backgrounds, identities, and experiences can contribute and succeed.
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