5+ years of experience as a Data Engineer or Backend Engineer with a focus on data processing.
Proficient in Python for building services, data pipelines, and automation.
Expertise in SQL for crafting complex queries and optimizing performance.
Strong understanding of data modeling principles for relational and dimensional structures.
Passionate about maintaining data quality and ensuring trust in critical data.
Responsibilities
Design and optimize data services to support various company products.
Integrate LLM- and agent-based capabilities into data platforms for smarter operations.
Develop scalable data pipelines to ensure clean and accurate data for analysis.
Build and maintain robust data models for clinical and business intelligence needs.
Implement data quality standards and best practices across systems.
Manage large-scale data storage and processing systems for reliability and performance.
Benefits
Monday to Thursday onsite work schedule with Fridays remote.
Weekly lunches and a stocked kitchen with healthy snacks.
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.
Full 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
About K Health
K Health is a healthcare company that uses AI and machine learning to provide affordable and accessible primary care to patients. The company's app allows users to input their symptoms and receive a diagnosis and treatment plan from a licensed physician within minutes. K Health also offers virtual visits with doctors and prescription delivery services. The company was founded in 2016 and is headquartered in New York City.
