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Forward Deployed Engineer, Senior - Data & Analytics

Humana · Louisville, KY, United States · Arlington, VA, United States · Atlanta, GA, United States · Boston, MA, United States · Charlotte, NC, United States · Chicago, IL, United States · Dallas, TX, United States · Fort Lauderdale, FL, United States · Nashville, TN, United States · New York, NY, United States · Tampa, FL, United States

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Humana

Forward Deployed Engineer, Senior - Data & Analytics

Louisville, KY, United States
Arlington, VA, United States
Atlanta, GA, United States
Boston, MA, United States
Charlotte, NC, United States
Chicago, IL, United States
Dallas, TX, United States
Fort Lauderdale, FL, United States
Nashville, TN, United States
New York, NY, United States
Tampa, FL, United States

$117,600 - $161,700 per year

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Job details

Pay: $117,600 - $161,700 per year
Working hours: 40 hours per week
Posting language: English
Posted: Nov 6, 2026

Original job description

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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.

Overview

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

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 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)

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 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. Description of 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 and many other opportunities.

About us

About 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 Employer

It 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.

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More about this job

Skills

Data analysis
Decision making
Databricks
PostgreSQL
ML
Apache Spark
Data engineering
Data models
PySpark
SQL
Google Analytics
Negotiate with stakeholders
CI/CD
Reporting
Regulatory compliance
Apply information security policies
Computer science
Python
Process data
Mlflow
Apache Airflow
Microsoft Azure Data Factory
Apache Kafka
DevOps
Microsoft Azure
GitHub
Microsoft Office

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