Job description

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 executing 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. This role requires onsite presence in our New York City office 4 days a week and does not provide immigration support. 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. What we’re looking for: 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: 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. Benefits & Perks: #LI-Hybrid Monday to Thursday onsite work schedule with Fridays remote Weekly lunches (Mon, Tues, and Thurs) and stocked kitchen with healthy snacks and beverages Monthly social committees for company events 18 vacation days, 9 company holidays, 5 sick days, and 2 personal days Stock options for every full-time employee Paid parental leave 401k benefit Commuter Benefits Competitive health, dental, and vision insurance options Compensation: $150,000 — $175,000 USD Who We Are: Behind every leading health system is K Health’s AI-powered virtual care engine. Our deeply integrated model modernizes the primary care loop by using AI to put humans first. For our patients, we offer clinical AI (i.e., PatientGPT) and unparalleled access to close care gaps around the clock. For our Providers, we deliver provider-serving agentic solutions (i.e., Perfect Note) to eliminate administrative overload and burnout. And for the health systems, we deploy our top-grade Virtualists in AI-powered virtual clinics 24/7 to capture the patients' care journeys at step one, retain the journey through the system for longitudinal care, and strengthen profitability. We’re founded in 2016, headquartered in New York City, and backed by over $443.5M from leading investors including Valor Equity Partners, Claure Group, Mangrove Capital Partners, 14W, Notable Capital, Lerer Hippeau, Primary Venture Partners, Comcast Ventures, PICO Venture Partners, Max Ventures, and other strategic healthcare partners. 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.

Requirements

Must-haves

This role requires onsite presence in our New York City office 4 days a week and does not provide immigration support.
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.
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.

Nice-to-haves

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.
Benefits & Perks: #LI-Hybrid
Monday to Thursday onsite work schedule with Fridays remote
Weekly lunches (Mon, Tues, and Thurs) and stocked kitchen with healthy snacks and beverages
Monthly social committees for company events
Compensation: $150,000 — $175,000 USD Who We Are:
Behind every leading health system is K Health’s AI-powered virtual care engine.
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.

Application prep

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Keywords to mirror

sqlpythonllmaiawsgcpazureci/cdkubernetesml

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Parental Leave