Senior Data Engineer
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 across both online and in-person primary care settings. K Health's primary care platform engages patients through a personalized investigation, informed by relevant medical history from the EMR, to provide primary care providers with comprehensive insights and automated workflows at the point of care. Coupled with patient insights, K Health’s technology empowers providers to make individualized diagnoses and treatment decisions and deliver high-quality medicine at scale.
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 continue to partner with a growing roster of major health systems (Cedars-Sinai, Hackensack Meridian Health, Hartford HealthCare), enhancing accessibility and quality of care by pairing people with technology.
K Health is a modern healthcare company that is reinventing the patient, provider, and AI cooperative for a singular, digitally unified, high-quality care delivery mission. Our cross-functional approach integrates deep expertise in clinical care, operations, data science, product, consumer marketing, and engineering into one team that is transforming the experience of patients, providers, and the overall care delivery system. Join us in our mission to deliver smarter, simpler healthcare!
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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