About CertifyOS

CertifyOS is building the data infrastructure that powers modern healthcare.

Today, healthcare organizations rely on fragmented and outdated provider data. This creates unnecessary administrative work, regulatory risk, and higher costs across the system. We’re solving that problem.

Our API-first platform automates provider licensing, enrollment, credentialing, and network monitoring by connecting directly to hundreds of primary data sources. We help healthcare organizations maintain accurate, compliant, and reliable provider networks at scale.

Our vision is simple: One API. One provider ID. Frictionless provider data.

We’re backed by leading investors and built by a team with deep experience in provider data systems. At CertifyOS, we value authenticity, accountability, collaboration, results, and openness to feedback. We’re building a high-ownership team focused on solving real infrastructure problems that impact millions of patients.

About the role:

We are looking for a highly skilled Data Infrastructure & Analytics to own and scale our internal data ecosystem. This role sits at the intersection of data engineering and analytics, with responsibility for building robust data pipelines, enabling reporting across the organization, and guiding dashboard development across multiple product lines.

You will play a critical role in shaping how data is collected, structured, and consumed—driving impact in a deeply data-driven organization where data is central to every decision

What you’ll do (Job responsibilities):

Data Infrastructure & Engineering

Design, build, and maintain scalable internal data infrastructure
Develop and manage ETL/ELT pipelines to move data from systems like Firestore and Spanner into BigQuery
Ensure data is properly structured, modeled, and optimized for analytics and reporting
Maintain reliability, performance, and data quality across pipelines

Reporting & Data Delivery

Own internal and external reporting systems across the organization
Build and maintain automated reporting workflows (e.g., exports, scheduled jobs via Airflow)
Deliver data to stakeholders through dashboards, reports, and automated data pipelines

Dash-boarding & Analytics Enablement

Build and maintain dashboards using tools such as Looker, Tableau, Omni, Superset, or similar platforms
Define best practices and guide analysts on dashboard design, performance, and scalability
Support new and existing product lines with analytics and reporting needs
Partner with cross-functional teams to translate business requirements into data solutions

Leadership & Impact

Act as a technical leader for data infrastructure and analytics initiatives
Drive data strategy and influence how data is used across the company
Mentor analysts and support their development in dashboarding and data best practices

Who you are (Job requirements):

Minimum 4 years of strong experience in data engineering and analytics roles
Hands-on experience with GCP (BigQuery, Firestore, Spanner)
Hands-on experience with Python and SQL
Experience building and maintaining ETL/ELT pipelines
Proficiency with workflow orchestration tools like Airflow
Experience with dashboarding tools (Looker, Tableau, Superset, Omni, etc.)
Familiarity with GitHub and modern development workflows
Experience working with both structured and unstructured data
Comfort using modern AI-assisted coding tools (e.g., Cursor, Claude)
Strong problem-solving skills and ability to work across teams
Flexibility working with US timezones.

Benefits of Working at Certify

At Certify, we’re building with intention and taking care of the people doing the work.

Your well-being matters to us. We provide 100% coverage of health, dental, and vision insurance premiums for employees. Our US-based team benefits from unlimited PTO, with at least two weeks off each year to recharge. In India, employees are supported with health insurance, statutory leave benefits, and additional wellness (menstrual) leave for women.

We are an equal opportunity employer committed to building an inclusive environment where everyone feels valued and empowered to do their best work, and we welcome applicants from all backgrounds and experiences.

If you require reasonable accommodations during the application process, please contact recruiting@certifyos.com.

We are also committed to pay transparency and foster an open culture where compensation conversations are encouraged and respected.

Data Infrastructure & Analytics Specialist