Machinify, Remote - US
The foundation is already in production: a Databricks lakehouse with 600+ dbt models, 1,800+ automated tests, Power BI semantic models, and LLM self-service on governed metrics. Your first priority is operational measurement: building the trusted metrics our Operations leaders run their business on. Next, you'll extend the warehouse to new business domains with a repeatable, template-driven approach.
This is a hands-on Engineering Manager role on a flat team. You'll manage engineers and analysts directly and spend about half your time building: designing the dimensional model, writing and reviewing code, and setting the engineering standards. You'll partner closely with a Product counterpart who owns priorities and stakeholder intake, so you can focus on architecture, delivery, and the team.
The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.
Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.
Machinify brings together several payment integrity and recovery businesses for health plans. Each one produces numbers that executives, operations leaders, and clients act on. Your job is to make sure there is one warehouse, one conformed model, and one definition of every number.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process.
If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/
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Source: the Machinify Greenhouse job board. We last checked this job 5 h ago. We first saw it 32 h ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.
This base pay is above the median for data engineering jobs that are remote in the US with no level in the job title.
We compare the middle of each posted range. This is base pay as posted. The group does not include this job.