Forward Deployed Engineer, Senior - Data & Analytics
humanaTampa (FL)
Forward Deployed Engineer, Senior - Data & Analytics
Posted yesterday
humanaTampa (FL)
SENIORITY
Lead
About the role
Senior Forward Deployed Engineer 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.
Key Responsibilities:
- 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 systemsAI & 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/CDCollaboration & 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
- Use your skills to make an impact
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 SQL3+ years of experience in deploying data & feature pipelines, model training, and inferencing within the Databricks stack 3+ years of hands-on experience with:
- Databricks
- PostgreSQLDistributed 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)
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