Remote Senior Analytics Engineer for Growth & Acquisition

Boulder Care

Portland (OR)

Remote

USD 155,000 - 170,000

Full time

6 days ago
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Benefits offered by this job

Medical benefits
Remote work
Vacation
Parental leave
401(k)
Hardware provided

Job summary

Boulder Care is seeking a Senior Analytics Engineer to own data infrastructure and insights, supporting growth, marketing, and patient acquisition analytics. You will build scalable data assets with the Principal Data Engineer, ensure secure modeling of clinical, operational, and growth data, and translate business questions into robust analytical workflows.

You will design semantic layers in Looker, mentor analysts, uphold data governance, and drive improvements in ETL/ELT pipelines using

Qualifications

  • 6+ years in analytics engineering, data analysis, or related roles.
  • Advanced SQL and hands-on dbt experience building scalable data models.
  • Experience with BigQuery and cloud data warehouses.
  • Proven use of Looker/LookML for self‑service analytics.
  • Strong stakeholder management and data governance understanding.

Responsibilities

  • Own data modeling and end‑to‑end pipeline development from ingestion to reporting.
  • Collaborate with the Principal Data Engineer to implement ETL/ELT workflows.
  • Build and maintain semantic layers and scalable Looker dashboards.
  • Mentor analysts in SQL, dbt, and analytical workflows.
  • Ensure data quality, governance, and secure handling of sensitive data.

Skills

SQL
dbt
Looker/LookML
BigQuery
Fivetran
Data modeling
ETL/ELT
Data governance
Git
Communication

Tools

dbt
Fivetran
Looker/LookML
BigQuery

Job description

Boulder Care is seeking a Senior Analytics Engineer to own data infrastructure and insights, supporting growth, marketing, and patient acquisition analytics. You will build scalable data assets with the Principal Data Engineer, ensure secure modeling of clinical, operational, and growth data, and translate business questions into robust analytical workflows.

You will design semantic layers in Looker, mentor analysts, uphold data governance, and drive improvements in ETL/ELT pipelines using

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