Forward Deployed Engineer (SW Engineer IV+)

HealthVerity • Philadelphia, PA

19h • Hybrid

About The Position

How you will help Accelerate customer and partner needs into clear, reliable, and scalable data and AI solutions, while strengthening HealthVerity’s engineering framework through real-world application and feedback. As a Forward-Deployed Engineer at HealthVerity, you will embed with customers and cross-functional teams to rapidly translate complex business problems into well-designed data flows, AI-enabled capabilities, and production-ready systems. You will help turn fragmented or bespoke customer requirements into smooth, repeatable data processes that align with our platform strategy. Through hands-on delivery, you will also advance HealthVerity’s engineering and AI frameworks; validating patterns, surfacing gaps, and shaping standards that make it easier for teams to build, deploy, and operate intelligent data products at scale. What you will do Lead technical discovery engagements with customers or internal partners to deeply understand business workflows, constraints, data realities, and success criteria. Rapidly prototype and iterate on pragmatic solutions; often using AI/ML, data pipelines, and backend services to validate value early and reduce delivery risk. Design and deliver production ready systems, including APIs, data pipelines, ML workflows, and cloud-native services, aligned with HealthVerity’s architecture and security standards. Own deployments and scaling efforts, troubleshooting complex issues across data, infrastructure, and application layers in real customer environments. Translate field learnings into leverage, feeding actionable insights back into product strategy, platform roadmap decisions, and reusable engineering patterns. How success will be defined Successfully deliver multiple high-impact customer or partner engagements, translating ambiguous business needs into production-ready technical solutions. Drive adoption and demonstrated the value of HealthVerity platform capabilities within real customer environments. Build strong, trusted relationships with customers and internal stakeholders, reflected in consistently positive feedback on technical delivery and collaboration. Influence product and platform direction by bringing concrete, field-driven insights into roadmap, architecture, and prioritization discussions. Leave behind durable, maintainable solutions and reusable patterns that scale beyond individual engagements.

Requirements

• 8+ years of software engineering experience, delivering production systems in Python, and/or JavaScript/TypeScript.
• Experience building data-intensive, distributed systems, including APIs, data pipelines, and cloud-native services (AWS or similar).
• Demonstrated experience owning and productionizing AI/ML solutions—taking them beyond experimentation into reliable, monitored workflows and systems
• Strong ability to operate in ambiguous, customer-driven problem spaces and make sound technical decisions.
• Clear communicator with the ability to work effectively across engineering, product, and customer teams.

Nice To Haves

• Experience working in regulated or compliance-driven environments (e.g., healthcare, life sciences, financial services).
• Background in customer-facing or domain-embedded engineering roles (e.g., forward-deployed, solutions, or consulting).
• Familiarity with modern data platforms and analytical workloads (e.g., Databricks, Spark, Snowflake).
• Experience influencing product or platform direction through real-world delivery or field-driven insights.

Responsibilities

• Lead technical discovery engagements with customers or internal partners to deeply understand business workflows, constraints, data realities, and success criteria.
• Rapidly prototype and iterate on pragmatic solutions; often using AI/ML, data pipelines, and backend services to validate value early and reduce delivery risk.
• Design and deliver production ready systems, including APIs, data pipelines, ML workflows, and cloud-native services, aligned with HealthVerity’s architecture and security standards.
• Own deployments and scaling efforts, troubleshooting complex issues across data, infrastructure, and application layers in real customer environments.
• Translate field learnings into leverage, feeding actionable insights back into product strategy, platform roadmap decisions, and reusable engineering patterns.

Benefits

• We offer a 401(k) plan and stock options.
• Health, dental, and vision coverage start on day 1, while 401(k) eligibility and stock options follow soon after.
• Remote workdays and 3 days a week of in-office collaboration for team members in the Philadelphia area. Check location requirements with the recruiting team.
• Take time off as needed, targeted at 4 weeks per year, including vacation, personal and sick time, plus paid parental leave.
• 12 weeks paid leave for childbearing, surrogacy, and adoption; 6 weeks for non-childbearing parents.
• mentorship program, departmental talks, and a library of resources are available beginning day 1 for each new team member to minimize the stress of starting a new job
• biweekly 1:1s, hands-on leadership that is goal-and growth-oriented for each team member, and an annual budget to support professional development pursuits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed