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Lead Data Engineer (Snowflake, DBT, Databricks, Pandas) - R01557862

Brillio

Salary not specified
Nov 10, 2025
Saint Louis, MO, US
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Brillio is looking to integrate Snowflake with Salesforce Health Cloud to enable scalable, real-time data exchange and analytics across healthcare platforms, supporting clinical, operational, and reporting needs.

Requirements

  • Hands-on experience with Snowflake, DBT, and Pandas.
  • Strong SQL and Python skills.
  • Experience with Salesforce Health Cloud data structures and APIs.
  • Familiarity with the Health Care Industry, HIPAA and PII data management
  • Familiarity with integration platforms such as MuleSoft, Informatica, or custom Snowflake connectors
  • Experience with Master Data Management solutions and Data Management concepts. Entity resolution, splits, merges, data lineage
  • Understanding of healthcare data domains including eligibility, claims, care plans, and provider networks

Responsibilities

  • Architect and implement ETL/ELT pipelines to ingest and transform data from Snowflake to SFDC Health Cloud.
  • Design and maintain data models that support payer and provider analytics, including Portico, Excelys, and Amisys structures
  • Leverage DBT for transformation workflows and documentation of data lineage.
  • Design and implement Snowflake clusters using Terraform
  • Use Pandas and Python for data wrangling, preprocessing, and validation.
  • Collaborate with cross-functional teams to align integration efforts with business goals, including real-time sync and batch processing
  • Ensure data quality, governance, and compliance with healthcare regulations.

Other

  • 5+ years of experience in data engineering, preferably in healthcare or CRM integrations.
  • Excellent problem-solving and communication skills.
  • Background in business process consulting or enterprise data strategy.