Senior Data Engineer

K Health; New York (NY); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Stock options

Paid parental leave

Health, dental, and vision insurance

Job summary

K Health in New York City is seeking an experienced Data Engineer to design and expand our data ecosystem. You will build high-quality data pipelines and models, ensure data quality, and work with cross-functional teams to drive data-driven decisions.

The role emphasizes Python-based service development, SQL optimization, and scalable data architectures. This position requires onsite presence in NYC four days a week and does not provide immigration support.

Qualifications

• 5+ years in data engineering or backend engineering focusing on data processing.
• Proficiency in Python for building services, pipelines, automations, and integrations.
• Deep SQL expertise for complex queries and large datasets.
• Strong data modeling knowledge for relational and dimensional structures.
• Commitment to data quality and trustworthy business-critical data.

Responsibilities

• Design, develop, and optimize data services and pipelines to support products and data platforms.
• Integrate LLM- and agent-based capabilities into data platforms for smarter data operations and AI-driven products.
• Build scalable data pipelines ensuring clean, accurate data ready for analysis.
• Create robust data models supporting clinical, BI, and operational needs.
• Enforce data quality standards and monitoring across systems and pipelines.
• Manage large-scale storage and processing systems for reliability and performance.

Skills

SQL

Python

Data modeling

Data quality

Data pipelines

Tools

Airflow

Kubernetes

CI/CD

Cloud platforms (AWS/GCP/Azure)

Job description

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.
• Hybrid work schedule with weekly lunches and stocked fridges
• 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
• Competitive health, dental, and vision insurance options

Compensation:: $150,000 USD - $200,000 USD

Who We Are:

Behind every leading health system is K Health's AI-powered virtual care engine.

Esteemed health systems like Mayo Clinic, Cedars-Sinai, Mass General Brigham, Hackensack Meridian Health, and Hartford Healthcare partner with K Health to build and run modern primary virtual care clinics on their behalf.

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 nearly $400 million 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're 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.