Data Infrastructure & Analytics Specialist

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Today, healthcare organizations rely on fragmented and outdated provider data.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. Were 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.
Were 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. Were 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 youll 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):

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Get Hired

• 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, were 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 [HIDDEN TEXT].
We are also committed to pay transparency and foster an open culture where compensation conversations are encouraged and respected.