[Hiring] Senior Forward Deployed Engineer - Data & Analytics @Humana

Role Description

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.

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.

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)

Requirements

• To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:
  • At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested.
  • In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs.
  • Humana reserves the right to require associates to upgrade their internet service if necessary.
  • Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
• While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

• 40

Pay Range

• The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
• $117,600 - $161,700 per year
• This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Benefits

• Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being.
• Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work.
• Among our benefits, Humana provides:
  • 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
  • Many other opportunities