Jr Data Engineer (Snowflake/dbt)

Location: Remote

Company

hirify.global is building a Snowflake data warehouse and analytics platform for healthcare claims, waste and abuse analytics, and client reporting.

What you will do

• Design, build, and maintain ingestion pipelines for claims, eligibility, and other healthcare data sources.
• Develop documented and tested dbt transformation models using version-control best practices.
• Contribute to fact and dimensional modeling, including star schemas, grain definitions, and slowly changing dimensions.
• Maintain a semantic layer that provides governed metrics for reporting tools such as Sigma.
• Troubleshoot data quality issues, pipeline failures, and schema drift while writing idempotent, reliably rerunnable pipeline logic.
• Translate reporting requirements into technical data structures and collaborate with senior engineers, analysts, and product stakeholders.

Requirements

• Foundational knowledge of data engineering, including ETL/ELT, SQL, and data pipeline design.
• Working knowledge of dbt or the ability to ramp up quickly, plus understanding of fact and dimensional modeling, star schemas, grain, and SCDs.
• Familiarity with semantic layers and data translation from business questions to accurate data structures and logic.
• Ability to work independently after requirements are clarified and complete tasks with minimal supervision.
• Comfort using AI-assisted development tools as a core, non-optional part of the development process.
• Strong written communication skills for documentation and cross-team collaboration.

Nice to have

• Healthcare data experience, including claims, eligibility, EHR, UB-04 revenue codes, claims adjudication, or payer/provider data.
• Experience with Snowflake, Terraform, or other infrastructure-as-code practices.
• Familiarity with Sigma, Looker, Power BI, or other modern BI and reporting tools.
• Understanding of HIPAA-related data handling considerations.

Culture & Benefits

• Remote, hands-on role within a modern data platform team.
• Daily use of AI tools such as Claude or Copilot for code generation, debugging, documentation, and pipeline development.
• Work follows change management, SDLC, data security, and human code-review practices.
• Opportunity to grow into greater ownership of the Snowflake platform and more senior data engineering responsibilities.