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Humana

Senior Forward Deployed Engineer – Data & Analytics

Humana

. Develop scalable and cost-efficient Data & ML solutions using Databricks (Spark) and cloud-native services .

Posted 11/6/2026full-timeRemote • United StatesSenior💰 $117,600 - $161,700 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing scalable Data and ML solutions using Databricks and cloud-native services, with a strong focus on ETL/ELT workflows and healthcare data governance. Proficient in translating business requirements into actionable analytics workflows while ensuring compliance with HIPAA regulations.

Highest-signal resume keywords
DatabricksPySparkSQLHealthcare Data GovernanceCloud-Native Data Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data ModelingETL/ELT WorkflowsData TransformationsReal-Time Data PipelinesBatch Data PipelinesData SecurityData LineageDistributed Data ProcessingMachine Learning EngineeringData Integration
Soft Skills
CommunicationCollaborationRequirements DiscoveryStakeholder EngagementTraining and Support
Tools & Technologies
Databricks GenieDelta LakeApache SparkPostgreSQLMLflow
Industry Keywords
Healthcare DataHIPAA ComplianceData GovernanceCloud ServicesData Analytics

Tech Stack

Tools & technologies
ApacheCloudETLPostgresPySparkPythonSparkSQL

About the role

Key responsibilities & impact
  • Develop scalable and cost-efficient Data & ML solutions using Databricks (Spark) and cloud-native services
  • Build and optimize ETL/ELT workflows for structured and unstructured healthcare data
  • Develop and maintain data models in enterprise data warehouses
  • Support Lakehouse architecture using Databricks, Delta Lake, and cloud storage
  • Build real-time and batch pipelines for analytics and operational use cases
  • Develop data transformations using PySpark and SQL within Databricks
  • Integrate data from APIs, third-party vendors, and internal systems
  • Leverage Databricks Genie to enable natural-language querying and democratize data access
  • Design and optimize semantic layers and governed datasets for Genie-driven insights
  • Collaborate with stakeholders to translate business questions into AI-assisted analytics workflows
  • Ensure AI outputs are accurate, explainable, and compliant with healthcare data governance and HIPAA requirements
  • Lead enterprise-scale data and ML architecture discussions
  • Establish best practices in data and ML engineering, testing, and CI/CD
  • Serve as an embedded, customer-facing engineer for assigned business or analytical teams
  • Lead requirements discovery, working sessions, and discovery workshops
  • Prototype, configure, and demo solutions to stakeholders
  • Advise business and clinical stakeholders on technical solutions
  • Drive post-launch adoption through end-user training, feedback gathering, and iteration
  • Partner with product, UX, and business subject-matter experts to ship solutions rapidly
  • Ingest, normalize, and optimize healthcare datasets including producer/agent, broker, commission, and distribution data
  • Implement data security, encryption, masking, and access controls
  • Maintain data lineage, auditability, and regulatory reporting readiness

Requirements

What you’ll need
  • Bachelor's in Computer Science, Engineering, or related field
  • 5+ years of experience building cloud-native Data & ML engineering solutions
  • 5+ years of programming experience in Python (PySpark) and SQL
  • 3+ years of experience deploying data and feature pipelines, model training, and inferencing within the Databricks stack
  • 3+ years of hands-on experience with Databricks
  • 3+ years of hands-on experience with PostgreSQL
  • 3+ years of hands-on experience with distributed data processing frameworks, including Apache Spark
  • 3+ years of hands-on experience with the Databricks ML stack, including MLflow, Databricks Notebook, and Runtime ML
  • Ability to communicate technical concepts clearly to non-technical business and clinical stakeholders
  • Ability to translate ambiguous, in-the-field requirements into working solutions
  • Minimum home internet speed of 25 Mbps download and 10 Mbps upload for home or hybrid home/office employees
  • Dedicated workspace without ongoing interruptions to protect member PHI/HIPAA information

Benefits

Comp & perks
  • Bonus incentive plan based on company and/or individual performance
  • Medical, dental, and vision benefits
  • 401(k) retirement savings plan
  • Paid time off
  • Company and personal holidays
  • Paid parental and caregiver leave
  • Short-term and long-term disability
  • Life insurance
  • Dedicated workspace requirement to protect member PHI/HIPAA information
  • Remote work arrangement with occasional travel to Humana offices for training or meetings