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Senior Data Engineer

New York, NY

Who we are:

K Health is venture-backed, fast-growing startup with a mission to use the power of Artificial Intelligence (AI) to get everyone access to higher quality healthcare at more affordable costs. We’re looking for mission driven individuals to join our team and help us eliminate healthcare inequalities to build a better and healthier future.

Featured most recently in Forbes and Business Insider as a leading AI startup, K Health is a telehealth company that harnesses the power of technology to help provide the smartest digital healthcare platform to patients, hospital systems, and providers across the United States. Our AI powered application helps bring together the knowledge of thousands of doctors and anonymous medical data to provide the highest quality care to our patients. We offer a free symptom checker, 24/7 access to board-certified doctors, ability to refill prescriptions from your phone, and more. All within one application - no insurance or preauthorization required.

K Health was founded in 2016, and has partnered with visionary and leading hospital systems and providers such as Cedars-Sinai, Mayo Clinic, and Elevance Health. Join us on our mission to help provide better healthcare for less.

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 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 in-office presence in our New York office four days per week.

What you will do:

  • Design, develop, and optimize scalable data pipelines, ensuring data is clean, accurate, and ready for analysis.
  • Build and maintain robust data models that support clinical, business intelligence and operational needs.
  • Work closely with data analysts, data scientists, engineers and cross-functional teams to understand data requirements and deliver high-quality solutions.
  • Implement and enforce data quality standards, monitoring, and best practices across systems and pipelines.
  • Collaborate on the design and implementation of database schemas to support analytical and transactional workloads.
  • Manage and optimize large-scale data storage and processing systems to ensure reliability and performance.

Who are you?

  • At least 5 years of experience as a Data engineer / BI developer / Data developer/ Analytics engineer
  • Python Proficiency: Proven ability to build data processing scripts, automation, 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.
  • Familiarity with dbt (data build tool) or Dataform for transformation pipelines and data modeling.
  • Knowledge of data orchestration tools (e.g., Airflow)
    • Understanding of CI/CD practices and version control systems.

Benefits & Perks:  #LI-Hybrid

  • 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
  • 401k benefit
  • Commuter Benefits 
  • Competitive health, dental, and vision insurance options 

Compensation:

$170,000 - $200,000 USD

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.

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