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Hybrid Data Engineer Data Engineer

Certify  ·  nan, · Hybrid

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About the job

About Us:

CertifyOS, based in New York, provides an API-first, UI agnostic platform that automates provider network management, ensuring efficient, near real-time verification and credentialing via extensive primary source integrations, streamlining the U.S. healthcare system's provider data accessibility.

Job Roles and Responsibilities:

- Develop web scrapers using Python to extract and process provider data from various online sources.

- Collaborate with the engineering team to integrate scraped data into CertifyOS's API-first, UI agnostic platform.

- Ensure data accuracy and integrity by conducting thorough testing and validation of web scraping scripts.

- Maintain and update existing web scraping scripts to accommodate changes in source websites.

- Troubleshoot and resolve data extraction issues promptly to support real-time verification and credentialing processes.

- Stay updated with the latest trends in web scraping technologies and techniques to enhance data acquisition efficiency.

- Contribute to improving end-to-end provider network management lifecycle automation.

Other Details:

- Collaborate with a team that values innovation and agile processes

- Show empathy and understanding for healthcare industry challenges

- Communicate openly and support feedback-driven environment

- Embrace continuous learning and adapt to evolving technologies

- Uphold CertifyOS's commitment to accuracy and speed in data delivery

Hiring Process:

1 Profile shortlisting

2 Tech interview with someone from the Tech team

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