Data Analytics Engineer

What you'll do

• Design and implement scalable data solutions and pipelines for US Oncology datasets using Databricks and Python.
• Develop and maintain scalable star-schema models and supporting technical specifications to improve query performance.
• Build and optimize data pipelines within a medallion architecture using APIs and cloud services.
• Design and implement reusable validations for data completeness, accuracy, timeliness, and compliance with business rules.
• Identify and resolve high-impact technical debt by standardizing engineering patterns and simplifying data flows.
• Design and implement a governed, auditable purge process to manage data lifecycle and retention.
• Build trusted, reusable datasets for patients, doctors, and employees using agreed business definitions and governance standards.
• Maintain technical documentation, data lineage, and operating procedures to ensure long-term maintainability and production support.

What we're looking for

• Degree or equivalent and 4+ years of relevant experience in data engineering, analytics engineering, software development, or computer science.
• 4+ years of experience developing and optimizing data solutions in Databricks (preferred) or Snowflake.
• 4+ years of experience with Python and SQL for data pipeline, validation, automation, and application development.
• Hands-on experience implementing data quality controls, monitoring, issue remediation, and reusable validation frameworks.
• Experience with dimensional modeling, star schemas, database design, data warehousing, and consolidated enterprise data assets.
• Ability to translate business rules into governed technical solutions and communicate complex concepts to non-technical stakeholders.
• Strong understanding of data governance, security, quality, lineage, retention, purge controls, and production support best practices.
• Applicants must be currently authorized to work in the United States on a full-time basis without the need for employer support or sponsorship.