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Humana

Senior Business Intelligence Engineer

Humana

. Maintain and enhance data pipelines, reporting datasets, dashboard refresh processes, and recurring analytics assets .

Posted 10/22/2026full-timeRemote • United StatesSenior💰 $89,000 - $121,400 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in SQL for data extraction and transformation, along with proficiency in Power BI for dashboard development and reporting. Capable of building and maintaining data pipelines in Databricks and implementing workflow automation solutions using PowerApps and Power Automate.

Highest-signal resume keywords
SQL Query WritingDatabricks Data EngineeringPower BI Dashboard DevelopmentPowerApps Solution DevelopmentPower Automate Workflow Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLDatabricksPower BIPowerAppsPower AutomateETL/ELT ProcessesData TransformationData AnalysisAI/ML ExposurePython
Soft Skills
Analytical SkillsCommunication SkillsCollaboration Skills
Tools & Technologies
Power BI DesktopPower BI Report BuilderDatabricksPowerAppsPower Automate
Industry Keywords
Healthcare DataPHI/HIPAA ComplianceData ModernizationGenerative AIOperational Data

Tech Stack

Tools & technologies
ETLPySparkPythonSQL

About the role

Key responsibilities & impact
  • Maintain and enhance data pipelines, reporting datasets, dashboard refresh processes, and recurring analytics assets
  • Partner with business and technical stakeholders to translate ambiguous requests into scalable data, reporting, application, and workflow automation solutions
  • Research source systems, data definitions, ownership, and lineage to support intake requests and solution development
  • Write complex SQL queries to extract, transform, summarize, and analyze data
  • Build and maintain dashboards, paginated reports, and analytical products using Power BI, Power BI Desktop, and Power BI Report Builder
  • Develop and support PowerApps solutions that improve business workflows and user access to insights
  • Develop and support Power Automate flows for business processes, notifications, approvals, and reporting automation
  • Build and support Databricks data engineering solutions, including pipelines, transformations, workflows, and automation
  • Support Databricks modernization efforts
  • Contribute to AI/ML and generative AI use cases involving structured and unstructured data
  • Determine technical approaches and deliver solutions with limited direction

Requirements

What you’ll need
  • Undergraduate degree
  • Minimum 5 years of SQL experience, including writing complex queries to extract, transform, summarize, and analyze data from multiple sources
  • Minimum 2 years of experience utilizing Databricks data engineering, including building and maintaining pipelines, workflows, and data transformation processes
  • Experience developing dashboards, semantic models, and paginated reports using Power BI, Power BI Desktop, and Power BI Report Builder or similar BI tools
  • Experience building or supporting solutions in PowerApps
  • Experience building or supporting workflow automation solutions using Power Automate
  • Demonstrated analytical experience, including the ability to work through ambiguous business requests, perform data discovery, and develop actionable solutions
  • Strong verbal and written communication skills, with the ability to collaborate effectively across technical and non-technical stakeholders
  • Minimum download speed of 25 Mbps and upload speed of 10 Mbps
  • Dedicated workspace without ongoing interruptions to protect member PHI/HIPAA information
  • Preferred: Advanced degree
  • Preferred: Experience with Python and/or PySpark for data engineering, analytics, automation, or AI/ML use cases
  • Preferred: Exposure to AI/ML, generative AI, or retrieval-augmented generation solutions, preferably in Databricks
  • Preferred: Experience with healthcare data, including claims-related or operational data
  • Preferred: Experience creating and maintaining automated ETL/ELT processes and recurring reporting datasets
  • Preferred: Experience supporting data platform modernization, migration, or lakehouse-based analytics initiatives

Benefits

Comp & perks
  • Bonus incentive plan based on company and/or individual performance
  • Medical benefits
  • Dental benefits
  • Vision benefits
  • 401(k) retirement savings plan
  • Paid time off
  • Company holidays
  • Personal holidays
  • Paid parental leave
  • Paid caregiver leave
  • Short-term disability
  • Long-term disability
  • Life insurance
  • Home or Hybrid Home/Office telephone equipment
  • Bi-weekly internet expense payment for associates who live and work from home in California, Illinois, Montana, or South Dakota