Lead Data Engineer

at Humana in Boise, Idaho, United States

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This role leads the architecture, engineering, and operationalization of the centralized Finance reporting data platform supporting CenterWell Finance reporting, analytics, and month-end close processes. We are looking for deep expertise in Databricks lakehouse engineering, medallion architecture design, advanced SQL development, and Power BI reporting optimization.

This position is remote; however, the candidate will be expected to work according to Eastern Standard Time.

Job Responsibilities

+ Lead the architecture, engineering, and stabilization of the centralized Finance reporting data platform supporting enterprise Finance reporting and analytics initiatives.

+ Design and implement scalable Databricks lakehouse solutions utilizing Bronze/Silver/Gold (Medallion) architecture patterns to support Finance reporting, month-end close processes, and analytical workloads

+ Develop and optimize advanced Databricks notebooks, workflows, Delta Lake pipelines, and orchestration frameworks to ingest, transform, validate, and operationalize large-scale Finance datasets.

+ Engineer reporting-ready analytical datasets and dimensional models optimized for enterprise Power BI reporting, semantic models, and governed self-service analytics

+ Develop advanced SQL -based transformation logic, financial aggregations, reconciliations, and reporting datasets utilizing Databricks SQL and Snowflake capabilities

+ Design and maintain scalable star schema and curated reporting layer structures supporting financial hierarchies, KPI standardization, P&L reporting, variance analysis, and executive reporting requirements.

+ Establish and maintain standardized financial hierarchies, mappings, and metric definitions across business lines, ensuring consistency across reporting outputs

+ Lead month-end Finance data operationalization processes, including ingestion, snapshot management, reconciliations, validation controls, auditability, and close-cycle reporting readiness.

+ Implement enterprise-grade data quality, lineage, monitoring, validation, and change management frameworks to ensure financial data accuracy, traceability, and governance compliance

+ Partner with FP&A, Accounting, Reporting & Analytics leadership, and enterprise data teams to translate Finance reporting requirements into scalable data and reporting platform solutions.

+ Provide technical leadership and architectural guidance across Finance data platform ini