Senior Analytics Engineer — Growth & Data (Remote)

Begell House Inc.; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Fully remote role

Medical, dental, vision coverage

Mental health support (Talkspace)

9 paid holidays

12 weeks parental leave

401(k) retirement savings

Hardware provided

Job summary

Boulder Care is hiring a Senior Analytics Engineer to own data modeling, pipeline development, and analytics across growth, marketing, and patient acquisition. You will build scalable data assets, collaborate with the Principal Data Engineer, and empower analysts through Looker and semantic layers.

This fully remote role supports a fast-paced digital clinic focused on addiction medicine, with a mission to improve lives through evidence-based care.

Qualifications

• 6+ years of experience in analytics engineering, data analysis, data engineering, or related full-stack data roles.
• Advanced proficiency in SQL and deep, hands-on experience building scalable data models with dbt.
• Strong experience managing and optimizing cloud data warehouses, specifically BigQuery.
• Proven track record with Fivetran (or similar ingestion tools) and business intelligence platforms, specifically Looker/LookML development.
• Familiarity with data governance, version control (Git), and an understanding of handling sensitive data within a secure, compliant environment.
• Experience partnering with Marketing or Growth teams to build the data foundations and analytics needed to understand acquisition, attribution, funnel performance, conversion, and growth opportunities is strongly preferred.
• Experience in healthcare data analytics (e.g., working with EHRs, claims data, or clinical workflows).

Responsibilities

• Operate across the data stack to build, manage, and optimize end-to-end data pipelines from ingestion to reporting.
• Develop, test, and maintain robust, production-grade data models and schemas in BigQuery using dbt, ensuring clean lineage and optimized performance.
• Collaborate with the Principal Data Engineer to implement and refine efficient ETL/ELT workflows, balancing infrastructure scalability with analytical agility.
• Configure and manage data ingestion pipelines using Fivetran to integrate new operational, financial, and clinical data sources.
• Serve as a primary partner to clinical, operations, finance, and growth teams, translating ambiguous business requests into structured, actionable data projects.
• Design and maintain semantic layers and scalable reporting structures within Looker (LookML) to enable self-service analytics across the organization.
• Act as a technical mentor and escalation point for data analysts, building their capabilities across SQL, dbt, and advanced analytical workflows.
• Establish best practices for code reviews, version control, and testing within the analytics team to foster a high-performance engineering culture.
• Bridge the gap between raw data engineering and downstream analysis, ensuring analysts have the well-structured datasets they need to succeed.
• Implement robust data validation, testing (e.g., dbt tests), and monitoring to ensure data integrity and governance.
• Collaborate with data leadership to define data standards, metrics definitions, and single-source-of-truth architectures.
• Maintain comprehensive documentation of data models, definitions, and governance policies.

Skills

SQL

LookML

dbt

BigQuery

ETL/ELT

Data storytelling

Collaboration

Tools

Fivetran

Git

Looker

Job description

Boulder Care is hiring a Senior Analytics Engineer to own data modeling, pipeline development, and analytics across growth, marketing, and patient acquisition. You will build scalable data assets, collaborate with the Principal Data Engineer, and empower analysts through Looker and semantic layers.

This fully remote role supports a fast-paced digital clinic focused on addiction medicine, with a mission to improve lives through evidence-based care.