Crea il tuo AI CV →

Staff Data Engineer

Imagine Pediatrics
Sede: United States Pubblicato il: 30 April 2026
Remote
supportoperationalanalyticshealthengineer
Who We Are Imagine Pediatrics is a tech enabled, pediatrician led medical group reimagining care for children with special health care needs. We deliver 24/7 virtual first and in home medical, behavioral, and social care, working alongside families, providers, and health plans to break down barriers to quality care. We do not replace existing care teams; we enhance them, providing an extra layer of support with compassion, creativity, and an unwavering commitment to children with medical complexity. What You'll Do  As a Staff Data Engineer at Imagine Pediatrics, you will be the first dedicated Data Engineer on a hybrid team with Analytics Engineers, responsible for defining how data moves through our platform and owning the data pipelines that power clinical analytics, operational reporting, and external integrations.  You will ensure that data ingestion and integration decisions are made with a clear understanding of downstream analytical usage, including how data freshness, grain, and structure impact downstream processes and systems. You will partner closely with Analytics Please mention the word **UPLIFTING** and tag RMi4yMzMuMTE0LjYy when applying to show you read the job post completely (#RMi4yMzMuMTE0LjYy). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Pronto a fare il colloquio?

Carica il tuo CV su tailk.me e l'AI farà il colloquio per te.

Crea il tuo AI CV e fai il colloquio

Annunci correlati

Staff Accountant
CyberSheath
United States · Remote
Staff Accountant
UHP (Unlock Human Potential)
United States · Remote
Technical Writer & Product Engineer
Thermal Works
United States · Remote
Senior Software Engineer
Prove
United States · Remote
Content Reviewer - US
TELUS Digital
United States · Remote
Lead Commercial Counsel
SpecterOps
Remote, United States · Remote