Senior Analytics Engineer

Nitka


Date: 3 weeks ago
City: Remote
Contract type: Full time
Remote

Nitka Technologies develops software for customers in the US and Europe and brings together about 300 professionals from Europe, North and South America.

We are looking for an experienced Senior Analytics Engineer to join a new project for a leading US healthcare provider, focused on reliability and operational excellence.

The customer is a US leader in outpatient rehabilitation and physical therapy services, operating a growing network of about 80 outpatient across the Western United States. The company combines evidence-based care, clinical expertise, and modern technologies to support patients throughout their recovery journey.

We offer 100% remote, full-time work with a flexible schedule.

Responsibilities:

  • Build and support Snowflake pipelines and dbt Core models in GitHub, with reliable tests, documentation,and data health monitoring
  • Create a weekly clinic availability snapshot from Prompt scheduling data and bring Dialpad call data into Snowflake
  • Take ownership of new medallion-layer dbt models from a consultant; improve data quality, governance, and clear business definitions
  • Publish discoverable data products for self-service in Domo and Snowflake. Help teams ask and answer questions with trusted, well-described data

 Requirements: 

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

Nice to have:

  • Domo semantic modeling, Azure, Prompt, Dialpad, or Microsoft Graph API experience
  • Domo, Snowflake Semantic Views, or emerging Snowflake CoWork capabilities

Working conditions:

  • Remote work with no time trackers, flexible working hours
  • Full-time (8 hours/day)
  • Attractive USD compensation
  • Paid vacation, holidays, sick leaves
  • Nearshore is preferred; candidates should have at least two hours of overlap with Mountain Time business hours

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