Senior Data Engineer — Remote, Multi-Cloud Data Platform

interrahealth

United States

Remote

USD 120,000 - 160,000

Full time

14 days+
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Benefits offered by this job

Competitive compensation
Remote-first — US-wide
Flexible work
Company-wide offsite
Generous time off
Comprehensive health coverage
401(k) with company match

Job summary

Interra Health is seeking a Senior Data Engineer to design, implement, and manage a scalable data platform across multi-cloud environments (AWS and Azure). You will work with cross-functional teams and offshore resources to ensure secure, accessible data aligned with business goals.

You will shape data models, governance, and pipelines using Snowflake, dbt, and Python, while driving best practices, performance, and reliability in a fast-paced, remote-first SaaS company.

Qualifications

  • 4+ years of experience in data engineering.
  • Proven expertise in AWS, Azure, Snowflake, dbt, and Python.
  • Strong background in data warehouse architecture, data modeling, and performance tuning.
  • Proficiency in SQL, dbt, and Python for data transformation and orchestration.
  • Experience with cloud-native architecture, DevOps practices, and CI/CD pipelines in Azure, AWS, and GitHub.
  • Excellent communication and collaboration skills with the ability to influence technical direction and strategy.

Responsibilities

  • Architecture & Strategy: Design scalable, secure data solutions across multi-cloud (AWS and Azure).Define data engineering standards and patterns.Collaborate to evaluate and integrate new technologies.Drive platform evolution with AI-powered automation.

Skills

AWS
Azure
Snowflake
dbt
Python
SQL

Job description

Interra Health is seeking a Senior Data Engineer to design, implement, and manage a scalable data platform across multi-cloud environments (AWS and Azure). You will work with cross-functional teams and offshore resources to ensure secure, accessible data aligned with business goals.

You will shape data models, governance, and pipelines using Snowflake, dbt, and Python, while driving best practices, performance, and reliability in a fast-paced, remote-first SaaS company.

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