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Data Engineer

Data Engineer

Scion StaffingPhoenix, AZ
30+ days ago
Job type
  • Full-time
Job description

Scion Technology has been engaged to conduct an immediate search for a talented Database Analytic Engineer (Snowflake & DBT) on behalf of our client, a forward-thinking healthcare analytics organization dedicated to driving value-based care outcomes.

In this impactful role, you’ll own the architecture and optimization of the company’s data lake and performance analytics platform, directly supporting mission-critical healthcare reporting and insights.

This is a full-time, direct-hire opportunity that is fully remote , with a strong preference for candidates who can align to Arizona business hours (8 AM–5 PM AZ time) .

Perks :

Be the lead data engineer at a growing, high-impact healthcare analytics company!

Work remotely with a flexible, agile, and mission-driven team.

Influence data architecture, governance, and AI strategy.

145,000 / year , based on experience.

What You Will Be Doing :

Leading the management of Snowflake data lakes including ingestion, transformation, and optimization.

Designing and maintaining modular DBT models using SQL and Jinja in support of complex healthcare datasets.

Chairing the Data Governance Committee to ensure HIPAA compliance and data integrity across systems.

Collaborating cross-functionally with analytics teams, payers, and health center partners to build actionable data pipelines.

Implementing CI / CD workflows and Git-based version control for DBT development.

Managing structured and semi-structured data formats (JSON, ORC, Parquet).

Contributing to the integration of Generative AI / LLMs , including RAG and text-to-SQL functionality.

Administering data access, security, and vendor network interfaces via SQL and REST APIs.

What You Will Need :

3+ years of experience in data engineering or analytics roles, ideally in the healthcare space.

Proven hands-on experience with Snowflake and DBT (SQL + Jinja) .

Strong understanding of data governance , security protocols , and HIPAA compliance .

Proficiency with Git , CI / CD , and ELT pipeline development.

Familiarity with cloud platforms like AWS, GCP, or Azure.

Experience with tools such as Airflow , Fivetran , Looker , or Tableau is a plus.

Python or scripting skills for automation and orchestration are a strong plus.

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Data Engineer • Phoenix, AZ