Forward Deployed Product Engineer (Client Facing)
New
P
Pager HealthHealthcare technology
Location: US RemoteFull-TimeSenior
SalaryFor Colorado, Nevada, New York, and Washington DC-based employment: In accordance with the Pay Transparency laws the pay range for this position is $180,000 - $220,000. The range listed only applies to Colorado, Nevada, New York, and Washington DC.
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Job Details
- Experience
- Five or more years in software engineering, integration engineering, solutions architecture, or forward deployed roles
- Required Skills
- AWSPythonSQLGCPAzureRESTful APIsJSONHIPAA
Requirements
- Have five or more years of experience in software engineering, integration engineering, solutions architecture, or forward deployed roles.
- Have strong coding skills in Python and SQL, plus experience with at least one additional language.
- Have hands-on experience building and consuming REST APIs.
- Have experience working with JSON, flat files, and batch data exchange.
- Have experience in a major cloud environment such as AWS, Azure, or GCP.
- Be comfortable working directly with customer engineers and explaining technical tradeoffs to nontechnical stakeholders.
- Be able to own problems end to end in ambiguous, fast-moving situations.
- Healthcare data experience is strongly preferred, including HL7, FHIR, X12 EDI files such as 834 eligibility and 837 claims, or payer and provider systems.
- Have working knowledge of HIPAA and secure handling of protected health information (PHI).
- Be willing to travel to partner sites as needed (15–20%).
Responsibilities
- Partner with Sales during discovery to map prospect architectures, data flows, and technical constraints.
- Build prototypes and proofs of concept for partner use cases.
- Design and deliver integrations using APIs, data feeds, and healthcare standards such as HL7 and FHIR.
- Write production-quality code and configurations in Python, SQL, and other scripting languages.
- Work with partner engineering, IT, and security teams through implementation, testing, and go-live.
- Troubleshoot data, integration, and performance issues in live partner environments.
- Share field learnings as product feedback and reusable tools for Product and Engineering.
- Document solutions, integration patterns, and deployment playbooks.
- Support security reviews, technical questionnaires, and RFP responses requiring technical detail.
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