Senior Analytics Engineer — Growth & Acquisition (Remote)

Boulder Care; Oregon; Hybrid; USD 155,000 - 170,000; Full time

Benefits offered by this job

Meaningful work

Comprehensive benefits

Mental health support

Remote-friendly

Job summary

Boulder Care is seeking a Senior Analytics Engineer to support data infrastructure and business insights, focusing on growth, marketing, and patient acquisition analytics. You will design end-to-end data pipelines, maintain robust data models in BigQuery with dbt, and enable self-serve analytics via Looker.

Collaborate with a Principal Data Engineer to ensure secure, reliable data assets. You will mentor analysts, drive governance, and translate complex business questions into scalable

Qualifications

• 6+ years in analytics engineering, data analysis, data engineering, or related full-stack data roles.
• Experience in fast-paced startup environments and navigating ambiguity.
• Advanced proficiency in SQL and hands-on data modeling with dbt.
• Strong experience managing and optimizing cloud data warehouses, specifically BigQuery.
• Proven track record with data ingestion tools (Fivetran) and BI platforms (Looker/LookML).
• Excellent stakeholder management and communication skills, translating requirements into execution.
• Familiarity with data governance, version control (Git), and HIPAA compliance.

Responsibilities

• Build end-to-end data pipelines and production-grade data models in BigQuery using dbt.
• Collaborate with engineers to implement ETL/ELT workflows and scalable data assets.
• Design semantic layers and scalable reporting structures in Looker to enable self-service analytics.
• Mentor analysts in SQL, dbt, and analytics workflows; establish code reviews and testing standards.
• Ensure data quality, governance, and documentation across the data platform.

Skills

SQL

dbt

BigQuery

Fivetran

LookML

Git

Stakeholder management

HIPAA compliance

Data governance

Growth analytics

Tools

dbt

Looker

Job description

Boulder Care is seeking a Senior Analytics Engineer to support data infrastructure and business insights, focusing on growth, marketing, and patient acquisition analytics. You will design end-to-end data pipelines, maintain robust data models in BigQuery with dbt, and enable self-serve analytics via Looker.

Collaborate with a Principal Data Engineer to ensure secure, reliable data assets. You will mentor analysts, drive governance, and translate complex business questions into scalable