Serve as the technical expert for healthcare data integrations, partnering with clients to understand workflows, define requirements, configure custom exports, and implement last-mile solutions. Explain APIs, flat files, and UI capabilities; create documentation and solution proposals; troubleshoot integration issues; and coordinate with product, data, and engineering teams. Use SQL and structured data formats for validation and troubleshooting while identifying opportunities for automation and product improvements.
Work Location: New York
East Coast Hours
About Candor Health
Candor Health is a healthcare intelligence platform that is powering companies with high quality, transparent, and actionable data in the US on doctors, facilities, insurance plans, costs, and more. We believe that providing higher quality, transparent data not only leads to better decisions, but creates greater trust and confidence for the entire healthcare ecosystem. We are getting data from a variety of growing sources including certification boards, booking sites, claims, social media, and others, with human and automated verification. We have built a high quality data set that has been baked off favorably against other healthcare data vendors, including public companies and startups that have been compiling healthcare data for many years. We are backed by some of the most prominent VCs and angels in healthcare who have a track record of building very successful technology companies.
Life at Candor
At Candor, everyone is a leader. The areas you own are yours to build and progress. Best ideas win! We value a culture where the team not only enjoys working together solving some of the biggest data challenges in the healthcare industry, but also has fun doing it. Building a great company is hard work but work-life balance is also important.
Responsibilities
- Join client calls to understand unique customer workflows and business requirements
- Ideate and collaborate with internal engineering teams on how to best implement Candor's healthcare data into client systems
- Serve as the technical expert explaining our API, flat file exports, and UI capabilities to customers
- Maintain and update clear technical documentation, integration guides and solution proposals for our clients and prospects
- Set up and configure custom data exports tailored to individual client needs
- Implement last-mile technical solutions to ensure seamless data integration for clients
- Collaborate closely with product, data, and engineering teams to translate customer needs into technical requirements
- Troubleshoot integration issues and provide timely resolution to customer technical challenges
- Leverage AI tooling, create and refine shared skills to effectively to improve the quality and velocity of our remediation of client issues
Qualifications
- 3+ years of experience in forward deployed engineering, solutions engineering, technical consulting, or other customer-facing technical roles
- Experience in writing SQL queries for data validation, transformation, and troubleshooting
- Comfortable in a terminal, reading code, and working with APIs.
- Skilled at explaining complex technical concepts to both technical and non-technical stakeholders
- Hands-on experience with structured data formats (JSON, CSV, XML) and relational databases
- Experience in tracking down critical issues and client questions, being the point person for client escalations
- Excellent communication skills with a customer-first mindset; skilled at active listening and translating customer needs into technical solutions
- Proactive in identifying opportunities for product improvements, technical automation, or enhanced customer outcomes
- Experience with healthcare tech is a plus
Similar Jobs
Energy • Manufacturing • Solar • Renewable Energy
Leads complex transmission and power system studies, including load flow, short-circuit, stability, voltage, electromagnetic transient, and steady-state analyses. Supports renewable energy and battery storage integration, grid code compliance, and dynamic modeling. Develops simulation models, leads proposals and client communications, presents technical findings, and contributes to industry forums and standards organizations. The role requires collaboration across global teams and up to 20% travel, with remote work available within the United States.
Top Skills:
Aspen OnelinerCC++DsatoolsEmt SimulationEmtpFactsFortranHvdcInverter-Based ResourcesMatlabPowerfactoryPscad/EmtdcPslfPss®EPythonStatcom
Artificial Intelligence • Healthtech • Software • Telehealth
Serve as the primary technical advisor for clients integrating with Fabric's API platform: design architectures, debug integrations, ship minor API/SDK improvements, build developer resources, and communicate changes to ensure successful headless virtual care implementations.
Top Skills:
Api KeysCernerEpicFhirHl7Oauth 2.0OpenapiReadmeRestful ApisRuby On RailsSdksStoplightWebhooks
3PL: Third Party Logistics
Serve as the senior technical escalation owner for enterprise customers, resolving complex integrations and cross-system issues, directing AI for investigations, stepping into implementations, feeding product roadmap with recurring problems, and building playbooks, tooling, and standards for technical support.
Top Skills:
AIAPIsSQL
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
