Senior Analytics Engineer

A Senior Analytics Engineer is needed to join a new initiative supporting a leading US healthcare provider, with an emphasis on reliability and operational excellence. This is a fully remote, full-time role focused on building data pipelines, governed data models, and operational reporting.

Key Responsibilities

• Build and support Snowflake pipelines and dbt Core models in GitHub, including reliable tests, documentation, and data health monitoring.
• Create a weekly clinic availability snapshot using Prompt scheduling data, and ingest Dialpad call data into Snowflake.
• Own new medallion-layer dbt models delivered by a consultant, improving data quality, governance, and clear business definitions.
• Publish discoverable data products for self-service in Domo and Snowflake, enabling teams to ask and answer questions using trusted, well-described data.

Required Qualifications

• 5+ years building and supporting production data models and pipelines.
• Strong hands-on experience with Snowflake, dbt Core, and SQL, including testing, source control, and troubleshooting.
• Ability to maintain clear documentation and collaborate effectively with distributed teams in an asynchronous environment.

Technology Stack

• Snowflake
• dbt Core
• GitHub
• SQL
• Prompt
• Dialpad
• Domo
• medallion-layer

Nice to Have

• Domo semantic modeling experience, plus experience with Azure, Prompt, Dialpad, or the Microsoft Graph API.
• Experience with Domo, Snowflake Semantic Views, or emerging Snowflake CoWork capabilities.

Benefits

• 100% remote full-time work with a flexible schedule.
• Full-time (8 hours/day).
• Attractive USD compensation.
• Paid vacation, holidays, and sick leave.

Working Conditions

• Remote work with no time trackers and flexible working hours.
• Full-time (8 hours/day) schedule.
• Nearshore is preferred, with candidates having at least two hours of overlap with Mountain Time business hours.