Forward Deployed Engineer, Senior - Data & Analytics

Become a part of our caring communityThe 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.OverviewHumana 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 ResponsibilitiesData & ML EngineeringDevelop scalable and cost-efficient Data & ML solutions using Databricks (Spark) and cloud-native servicesBuild 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 warehousesSupport Lakehouse architecture leveraging Databricks, Delta Lake, and cloud storageAdvanced Data ProcessingBuild real-time and batch pipelines for analytics and operational use casesDevelop data transformations using PySpark and SQL within DatabricksIntegrate 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 stakeholdersDesign and optimize semantic layers and governed datasets that power Genie-driven insights with trusted, high-quality dataCollaborate with stakeholders to translate business questions into AI-assisted analytics workflows using DatabricksEnsure AI outputs are accurate, explainable, and compliant with healthcare data governance and HIPAA requirementsTechnical LeadershipLead design and architecture discussions for enterprise scale solutionsEstablish and enforce best practices in data & ML engineering, testing, and CI/CDCollaboration & Customer-Facing DeliveryServe 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 criteriaLead requirements discovery end-to-end: run working sessions and discovery workshops, translate ambiguous, evolving business problems into concrete technical specifications and delivery plansRapidly prototype, configure, and demo solutions to stakeholders to validate direction early and de-risk larger investmentsAct 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 datasetsDrive post-launch adoption by training end users, gathering hands-on usage feedback, and iterating quickly on delivered solutions in response to that feedbackBlend engineering, product discovery, and solution delivery skills, partnering with product, UX, and business SMEs to identify and ship solutions rapidlyHealthcare Data & ComplianceWork with healthcare datasets, including producer/agent, broker, commission, and distribution data, ensuring proper ingestion, normalization, and optimization for analytics and reportingEnsure compliance with HIPAA, HITECH, and enterprise data governance policiesImplement data security, encryption, masking, and access controlsMaintain data lineage, auditability, and regulatory reporting readinessUse your skills to make an impact Required QualificationsBachelor's in Computer Science, Engineering, or related field5+ years of experience in building cloud-native Data & ML engineering solutions5+ years of programming experience in Python (PySpark) and SQL3+ years of experience in deploying data & feature pipelines, model training, and inferencing within the Databricks stack3+ years of hands-on experience with:DatabricksPostgreSQLDistributed 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 solutionPreferred QualificationsExperience 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 timelinesExperience with:Delta Lake / Lakehouse architectureOrchestration tools (Airflow, Azure Data Factory)Streaming (Kafka, Event Hubs)Knowledge of DevOps and CI/CD pipelines (Azure DevOps, GitHub Actions)Work at Home 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.Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.Scheduled Weekly Hours40Pay RangeThe 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 yearThis job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.Description of BenefitsHumana, 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 and many other opportunities.About usAbout Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.​Equal Opportunity EmployerIt is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.SummaryLocation: Louisville, KY; Charlotte, NC; Arlington, VA; Tampa, FL; Dallas, TX; Fort Lauderdale, FL; Chicago, IL; Atlanta, GA; New York, NY; Nashville, TN; Boston, MAType: Full time