Forward Deployed Engineer, Senior - Data & Analytics (Databricks)

Location: Remote within the United States; occasional travel to hirify.global offices for training or meetings may be required. Listed locations include Louisville, KY; Charlotte, NC; Arlington, VA; Tampa, FL; Dallas, TX; Fort Lauderdale, FL; Chicago, IL; Atlanta, GA; New York, NY; Nashville, TN; and Boston, MA.

Salary: $117,600–$161,700 per year, plus eligibility for a bonus incentive plan.

Company

hirify.global is a U.S. healthcare and insurance company providing insurance and healthcare services to people, families, military personnel, and communities.

What you will do

• Design, build, and maintain scalable cloud-native data and ML solutions using Databricks, Spark, Delta Lake, cloud storage, PySpark, and SQL.
• Build real-time and batch ETL/ELT pipelines, data models, transformations, and integrations for structured and unstructured healthcare data from APIs, vendors, and internal systems.
• Use Databricks Genie to develop governed semantic layers and datasets for natural-language querying and AI-assisted analytics.
• Lead architecture discussions and establish engineering, testing, security, governance, and CI/CD best practices.
• Work directly with business and clinical stakeholders to discover requirements, prototype and demonstrate solutions, deliver technical specifications, and drive adoption through training and feedback.
• Implement healthcare data security, encryption, masking, access controls, lineage, auditability, and regulatory reporting readiness.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience building cloud-native Data & ML engineering solutions.
• 5+ years of programming experience with Python, including PySpark, and SQL.
• 3+ years of experience deploying data and feature pipelines, model training, and inferencing within the Databricks stack.
• 3+ years of hands-on experience with Databricks, PostgreSQL, Apache Spark or other distributed data processing frameworks, and the Databricks ML stack including MLflow, Databricks Notebook, and Runtime ML.
• Ability to communicate technical concepts clearly to non-technical business and clinical stakeholders and translate ambiguous field requirements into working solutions.
• Remote work requires a dedicated space that protects member PHI and HIPAA information.

Nice to have

• Healthcare or insurance experience, especially payer experience.
• Familiarity with healthcare standards such as FHIR and HL7.
• Customer-facing, consulting, solutions engineering, or forward-deployed engineering experience involving end-user requirements gathering, demos, and tight delivery timelines.
• Experience with Delta Lake, Lakehouse architecture, Airflow, Azure Data Factory, Kafka, Event Hubs, Azure DevOps, or GitHub Actions.

Culture & Benefits

• Full-time schedule of 40 hours per week with remote work and occasional office travel.
• Home internet must provide at least 25 Mbps download and 10 Mbps upload; hirify.global may require an upgrade if business needs demand it.
• Benefits include medical, dental, and vision coverage, 401(k), paid time off, paid holidays, parental and caregiver leave, disability coverage, and life insurance.
• Work supports healthcare and insurance services focused on whole-person well-being.