Senior Data Engineer (Oracle)

Company: Bitscopic

Location: United States (Remote)

Salary: $140,000 - $190,000 a year

Type: Contract

Remote: Yes

Posted: 2026-07-13

About this role

About Bitscopic

Bitscopic is a profitable, founder-owned healthcare data and analytics company. We run a long-standing research and development partnership with the U.S. Department of Veterans Affairs, with data spanning all 1,300 VA facilities and more than 10 million patient records. Our platform powers clinical surveillance, genomics, and public health products used across one of the largest integrated health systems in the country.

PraediAlert is our real-time clinical surveillance and alerting product. It ingests live clinical data feeds from VA facilities and turns them into timely, actionable signals for infection control, antimicrobial stewardship, and patient safety. Behind those signals sits a large, high-volume Oracle data platform. The speed and reliability of that platform decide whether clinicians get alerts in time. That is where this role lives.

About the Role

We are hiring a Senior Data Engineer with deep Oracle expertise to own the database layer behind PraediAlert. You will write and optimize the PL/SQL that drives our clinical data processing, tune queries and schemas against a large and growing dataset, and set the performance and reliability bar for data that people depend on. This is a hands-on, senior database engineering role for someone who reads execution plans for sport and treats a slow query as a problem worth solving properly.

Clinical data lands in Oracle through HL7 pipelines from hundreds of facilities. The hard engineering problem is keeping that data clean, consistent, and fast to query at scale. You will lead that work.

What You Will Do

  • Design, write, and optimize PL/SQL: stored procedures, packages, functions, and triggers that power PraediAlert's clinical data processing.
  • Tune query and schema performance against high-volume clinical data: analyze execution plans, rewrite expensive queries, design indexing and partitioning strategies, and manage optimizer statistics.
  • Own Oracle schema design and evoluti...

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