Senior Data Engineer (Snowflake/dbt)

Location: Salt Lake City, Utah, United States; flexible schedules include work-from-home options.

Salary: $116,500–$225,300 annually, varying by work location and job-related factors.

Company

hirify.global connects physicians with patients through its healthcare staffing business and supports millions of patient visits each year.

What you will do

• Contribute to the enterprise data strategy with leadership and the Data Platform Architect.
• Design, develop, and deploy complex ETL/ELT solutions using dbt and Snowflake.
• Build and maintain data pipelines and dimensional data models focused on performance, scalability, and data quality.
• Lead technical projects from design through delivery and make decisions on complex problems with broad business impact.
• Collaborate with Engineering, Sales, Business Intelligence, Product, and Project Management stakeholders.
• Mentor Data Engineers and help establish coding, testing, documentation, and design-review practices.

Requirements

• Advanced knowledge of logical and physical data models, including Kimball methodology and dimensional modeling.
• 6+ years of experience in data analysis and building ELT/ETL solutions, including 5+ years with cloud data warehousing methodologies and tools; Snowflake and dbt are preferred.
• 5+ years of SQL experience writing complex queries and optimizing performance.
• Experience integrating reporting databases, using APIs to extract data from source systems, and processing data across multiple database platforms.
• Experience with software design practices, relational databases, and data-driven reporting applications.
• Experience leading technical projects and mentoring less experienced engineers.
• Bachelor’s degree or equivalent technical work experience.
• Ability to solve complex problems independently, communicate difficult technical information to technical and non-technical audiences, and work independently and collaboratively.
• Willingness to participate in on-call rotations.

Nice to have

• Experience building data pipelines with Python.
• Experience with Dagster, semantic or metric layers, Tableau extracts and dashboards, and self-service analytics.

Culture & Benefits

• Full-time position with flexible work schedules, including work-from-home options.
• 401(k) retirement plan with company match and medical and dental coverage.
• Onsite health centers, wellness programs, behavioral health appointments, and family-friendly benefits.
• Paid parental leave, fertility coverage, adoption assistance, marriage counseling, volunteer time off, and matching grants.
• Training resources, free LinkedIn Learning courses, tuition reimbursement, and recognition rewards.
• Work is performed in an agile environment with participation in on-call rotations.