Sourced entirely through outbound, not a job posting: 633 candidates over 92 days, closing at $140K total comp.
Dandelion Health needed an engineer to build and operate de-identification pipelines protecting patient health information across more than 10 million patients' worth of structured, unstructured, imaging, and waveform data. 2+ years Python, working SQL and Bash.
This one started as a direct outbound sourcing sequence, not a job posting, reaching out to specific candidates on LinkedIn before a single application came in. It ran to 633 candidates in the system before we closed it, 92 days start to finish.
An engineer who started their career at a large industrial technology company, building backend Java and Python microservices, including asynchronous batch-processing systems for claims data. They came in with hands-on AWS experience (CloudFormation, CodeBuild, CodePipeline, S3, CloudWatch) and, critically, real hands-on experience working with de-identified data, the exact skill this search was built around.
Placed at $140K total comp. The first interview was a direct intro call with Dandelion Health's Head of Engineering, and we stayed engaged with the candidate through their first two weeks on the job to confirm a strong start.
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