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Tier-1 brand plus mid-level experience and in-demand MLOps skills produce moderate applicant competition.
Core Databricks/ML-Ops skills transfer across industries, but healthcare payer domain adds moderate bias.
Explicit 4+ years requirement plus Databricks/CI-CD/MLOps tool expectations create moderate filter rigidity.
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Design and implement advanced analytics solutions tailored for healthcare payers, focusing on operational efficiency and business impact.
Analyze complex problems and develop actionable insights to support client decision-making and operational strategies.
Mentor junior team members and manage complex project environments while maintaining high quality standards and building client relationships.
Bachelor's Degree in a relevant field.
At least 4 years of experience in software engineering or data engineering.
Experience with healthcare domain consulting or healthcare analytics not explicitly mandatory but preferred.
Travel requirements up to 80%.
Strong background in software or data engineering within healthcare analytics and operations consulting.
Experience working with advanced data platforms such as Databricks and tools like dbt, CI/CD pipeline design, and Python CLI development.
Capable of managing complex, ambiguous problems while mentoring others and maintaining client relationships in a high-travel consulting environment.