Senior Data Engineer at K Health

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Full Time

Start Date

Immediate

Expiry Date

25 Apr, 26

Salary

0.0

Posted On

25 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Modeling, Data Quality, Data Pipelines, Data Services, Data Solutions, Data Storage, Data Processing, Cloud Platforms, Data Orchestration, CI/CD, Kubernetes, ML/AI Development

Industry

Hospitals and Health Care

Description

Who we are: Founded in 2016, K Health's mission is to deliver accessible, high-quality healthcare at scale. As a leading clinical AI company in primary care, K Health has developed a suite of clinical AI agents that enhance provider efficiency and improve patient outcomes. K Health's virtual primary care platform is enhanced by an AI copilot to complete the initial patient intake, summarizing relevant history from the EMR, and generating “the perfect note” to reduce the time providers spend on basic data collection and non-clinical tasks. Unlike other virtual medicine companies, K Health delivers comprehensive, longitudinal primary care in a virtual setting, enabling our clinicians to be true primary care providers without sacrificing scope of practice or continuity of care. As a venture-backed startup trusted with nearly $400 million in funding and a $900 million valuation as of July 2024, K Health is well-positioned for sustained future growth. We are expanding our partnerships with major health systems (Cedars-Sinai, Hackensack Meridian Health, Hartford HealthCare), enhancing accessibility and quality of care by pairing people with technology. Our providers are credentialed at these renowned academic health systems and adhere to their clinical guidelines, ensuring patient-first, evidence-based care. Fully integrated into Epic, our AI platform enables K Health to operate as an extension of existing healthcare systems, benefiting from a built-in network of specialists and social services to seamlessly serve patients within those communities. Our unique care delivery model enables our providers to deliver the same high-quality, accessible care to a mixed-payer population, including those with commercial insurance, Medicare, and Medicaid. Join us in our mission to deliver smarter, simpler healthcare of the future - today! About the role: Our data engineering team is looking for an experienced professional with expertise in SQL, Python, and strong data modeling skills. In this role, you will be at the heart of our data ecosystem, designing and maintaining cross-engineering initiatives and projects, as well as developing high-quality data pipelines and models that drive decision-making across the organization. You will play a key role in ensuring data quality, building scalable systems, and supporting cross-functional teams with clean, accurate, and actionable data. What you will do: Design, develop, and optimize data services and solutions required to support various company products (like FeatureStore or synthetic data management); Work closely with data analysts, data scientists, engineers, and cross-functional teams to understand data requirements and deliver high-quality solutions. Design and integrate LLM- and agent-based capabilities into data platforms and services, enabling smarter data operations and AI-driven data products. Design, develop, and optimize scalable data pipelines to ensure data is clean, accurate, and ready for analysis. Build and maintain robust data models that support clinical, business intelligence, and operational needs. Implement and enforce data quality standards, monitoring, and best practices across systems and pipelines. Manage and optimize large-scale data storage and processing systems to ensure reliability and performance. Who are you? 5+ years of experience as a Data Engineer / Backend Engineer (with strong emphasis on data processing) Python Proficiency: Proven ability to build services, solutions, data pipelines, automations, and integration tools using Python. SQL Expertise: Deep experience in crafting complex queries, optimizing performance, and working with large datasets. Strong knowledge of data modeling principles and best practices for relational and dimensional data structures. A passion for maintaining data quality and ensuring trust in business-critical data. Bonus points: Experience with cloud platforms (e.g., AWS, GCP, or Azure) for data engineering and storage solutions. Knowledge of data orchestration tools (e.g., Airflow) Understanding of CI/CD practices and version control systems. Experience with Kubernetes. Experience in ML/AI development. #LI-Hybrid We offer competitive compensation packages based on industry benchmarks for function, level, and geographic location. Offer amounts are determined by multiple factors such as a candidate's experience and expertise. We are proud to be an Equal Opportunity Employer and consider applicants for employment regardless of race, ethnicity, religion, color, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, pregnancy, childbirth and breastfeeding, age, citizenship, military or veteran status, or any other class protected by applicable federal, state, and local laws. We’re deeply committed to building teams as diverse as the patients we serve and strive to cultivate an environment where everyone can bring their most authentic self to work. We depend on our differences to make our team stronger, our workplace more dynamic, and our product accessible to all of our users. We are committed to maintaining the integrity of our hiring process and ensuring a safe environment for all candidates. All communication for job offers from K Health will come from email addresses ending in @khealth.com. K Health will never ask you to provide financial information about yourself during the recruitment process. We will never use personal email accounts or other domains for official correspondence. Our official job postings are only listed on our official website and reputable job boards. Be cautious of job offers from sources other than these platforms.

Responsibilities

Design and develop data services and solutions to support company products while ensuring data quality and building scalable systems. Collaborate with cross-functional teams to deliver high-quality data solutions.