# Senior Forward Deployed Engineer **Company**: Humana **Location**: Louisville, KY **Work arrangement**: remote **Experience**: senior **Job type**: full-time **Salary**: $117,600 - $161,700 per year **Category**: Engineering **Industry**: Healthcare **Apply**: https://humana.wd5.myworkdayjobs.com/en-US/Humana_External_Career_Site/job/Louisville-KY/Forward-Deployed-Engineer--Senior---Data---Analytics_R-436658?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/job/senior-forward-deployed-engineer-2841b88e-c1d/ ## Description Humana is seeking a Senior Forward Deployed Engineer to support its mission of improving the health and well-being of its consumers. This role will focus on building scalable, secure, data & analytics solutions that power analytics, clinical insights, and business decision-making across the enterprise. As a Forward Deployed Engineer, this individual will work directly alongside business and analytics stakeholders, translating real-world problems into working solutions quickly and driving adoption across the enterprise. The ideal candidate will have strong experience with cloud-based data platforms, Databricks, PostgreSQL, and healthcare data, with a passion for delivering high-quality, trusted data solutions in a regulated environment. **Key Responsibilities** **Data & ML Engineering** - Develop scalable and cost-efficient Data & ML solutions using Databricks (Spark) and cloud-native services - Build and optimize ETL/ELT workflows for ingesting structured and unstructured healthcare data (claims, clinical, provider, and consumer data) - Develop and maintain data models in enterprise data warehouses - Support Lakehouse architecture leveraging Databricks, Delta Lake, and cloud storage **Advanced Data Processing** - 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 **AI & Advanced Analytics (Databricks Genie)** - Leverage Databricks Genie (AI/BI capabilities) to enable natural language querying and democratize data access for business stakeholders - Design and optimize semantic layers and governed datasets that power Genie-driven insights with trusted, high-quality data - Collaborate with stakeholders to translate business questions into AI-assisted analytics workflows using Databricks - Ensure AI outputs are accurate, explainable, and compliant with healthcare data governance and HIPAA requirements **Technical Leadership** - Lead design and architecture discussions for enterprise scale solutions - Establish and enforce best practices in data & ML engineering, testing, and CI/CD **Collaboration & Customer-Facing Delivery** - Serve as the embedded, customer-facing engineer for assigned business or analytical teams, working directly with end users, to understand existing capabilities & workflows, pain points, and success criteria - Lead requirements discovery end-to-end: run working sessions and discovery workshops, translate ambiguous, evolving business problems into concrete technical specifications and delivery plans - Rapidly prototype, configure, and demo solutions to stakeholders to validate direction early and de-risk larger investments - Act as a trusted technical advisor to business and clinical stakeholders, balancing engineering rigor with pragmatic, fast-turnaround delivery to accelerate time-to-value and drive adoption of new tools and datasets - Drive post-launch adoption by training end users, gathering hands-on usage feedback, and iterating quickly on delivered solutions in response to that feedback - Blend engineering, product discovery, and solution delivery skills, partnering with product, UX, and business SMEs to identify and ship solutions rapidly **Healthcare Data & Compliance** - Work with healthcare datasets, including producer/agent, broker, commission, and distribution data, ensuring proper ingestion, normalization, and optimization for analytics and reporting - Ensure compliance with HIPAA, HITECH, and enterprise data governance policies - Implement data security, encryption, masking, and access controls - Maintain data lineage, auditability, and regulatory reporting readiness **Required Qualifications** - Bachelor's in Computer Science, Engineering, or related field - 5+ years of experience in building cloud-native Data & ML engineering solutions - 5+ years of programming experience in Python (PySpark) and SQL - 3+ years of experience in deploying data & feature pipelines, model training, and inferencing within the Databricks stack - 3+ years of hands-on experience with: - Databricks - PostgreSQL - Distributed data processing frameworks (Apache Spark) - Databricks ML stack including MLflow, Databricks Notebook, Runtime ML, etc. - Demonstrated ability to communicate technical concepts clearly to non-technical business and clinical stakeholders, and to rapidly translate ambiguous, in-the-field requirements into a working solution **Preferred Qualifications** - Experience in healthcare or insurance industry (payer experience strongly preferred) - Familiarity with healthcare standards (e.g., FHIR, HL7) - Prior experience in a customer-facing, consulting, solutions engineering, or forward-deployed engineering role, engaging directly with end users to gather requirements, run demos, and deliver solutions on tight timelines - Experience with: - Delta Lake / Lakehouse architecture - Orchestration tools (Airflow, Azure Data Factory) - Streaming (Kafka, Event Hubs) - Knowledge of DevOps and CI/CD pipelines (Azure DevOps, GitHub Actions) **Benefits** - Medical, dental, and vision benefits - 401(k) retirement savings plan - Time off (including paid time off, company and personal holidays, paid parental and caregiver leave) - Short-term and long-term disability - Life insurance For more fresh new jobs, check out [yubhub.co](https://yubhub.co/). ## Skills ### Required - Python - PySpark - SQL - Databricks - PostgreSQL - Apache Spark - Databricks ML stack ### Nice to have - FHIR - HL7 - Delta Lake - Lakehouse architecture - Airflow - Azure Data Factory - Kafka - Event Hubs - DevOps - CI/CD pipelines --- Source: [Apply at humana.wd5.myworkdayjobs.com](https://humana.wd5.myworkdayjobs.com/en-US/Humana_External_Career_Site/job/Louisville-KY/Forward-Deployed-Engineer--Senior---Data---Analytics_R-436658?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)