Forward Deployed Engineer, Senior - Data & Analytics

The Senior Data Engineer Designs, builds, and maintains data processing architectures and solutions enabling the efficient conversion of structured and unstructured data to insights at enterprise scale. The Senior Data Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

Humana is seeking a Senior Forward Deployed Engineer to support our mission of improving the health and well-being of our 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.

• 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

• 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 (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

• Lead design and architecture discussions for enterprise scale solutions

• Establish and enforce best practices in data & ML engineering, testing, and CI/CD

• 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

• Work with healthcare datasets, including producer/agent, broker, commission, and distribution…