Analytics Engineer

Dandelion Health Inc · Remote · Remote ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
$140k – $150k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote (US)
  • dbt + Snowflake
  • Clinical data focus
  • Quarterly travel
  • Mid-level role

Join Dandelion Health to transform complex clinical data from major health systems into trusted datasets for AI development. You will own the transformation layer of the ELT pipeline, ensuring data quality and lineage for internal teams and external clients building responsible clinical AI products.

What you'll do

  • Build and maintain data transformation pipelines using dbt and Snowflake
  • Query complex health data sources like EMRs and DICOM to map elements
  • Harmonize multimodal data into a unified ontological layer for AI use
  • Implement data quality tests, CI/CD, and version control best practices
  • Collaborate with NLP experts to structure concepts from unstructured text
  • Support engineers in optimizing de-identification and ETL processes
  • Translate research and model requirements into engineering solutions

What you'll need

  • Bachelor’s degree in Data Science, Informatics, CS, or Biostatistics
  • 3+ years experience cleaning and structuring clinical EHR data
  • Strong proficiency in dbt, SQL, and Jinja macros
  • 1+ year experience with HIT ecosystem data and standards like FHIR
  • Comfort working in cloud environments, ideally Snowflake or AWS
  • Proficiency with Git and software engineering best practices
  • Excellent communication skills for translating customer needs

Nice to have

  • Experience integrating LLM tools like Snowflake Cortex or Bedrock
  • Proficiency in Python for data cleaning and feature engineering
  • Familiarity with Epic, Cerner, or Allscripts electronic medical records
  • Experience with OMOP common data model or medical ontologies
  • Knowledge of DICOM or other imaging modalities
  • Familiarity with agile tools such as Jira or Linear

Stack

  • dbt
  • Snowflake
  • SQL
  • Python
  • Git
  • AWS
  • Jinja

How you'll work

  • Fully remote with flexible hours
  • Occasional quarterly travel for in-person work days
  • Availability required for team meetings

What you get

  • Complete wellness benefits including healthcare and dental
  • Paid time off and sick days
  • Professional development days for skill building
  • Collegial and mission-driven work environment