Rezilient Health
Data Engineer
Rezilient Health, New York, New York, United States,
Our mission at Rezilient Health is simple: to make access to primary and multispeciality care convenient, timely and seamless. We beam our remote physicians and specialist consults into our world-first CloudClinics to collaborate with an onsite medic during patient appointments. That means a shorter time to diagnosis and more timely treatment for our members, plus a model that actually helps physicians to deliver better care.Our tech-forward approach streamlines the primary care experience so our doctors have the time to treat our members as a whole person, not just a collection of symptoms. And we’re continuing to add specialty services and technology to offer the most comprehensive, convenient care possible.Where others started with a legacy services model and slapped technology onto it to say they were tech enabled, we've developed a novel, digital physical infrastructure and built a new service model around it. We've built our scheduling, messaging, and video platform from the ground up to create a model where every touchpoint — even in the CloudClinics — is digitally captured. This means new ways to incorporate AI into care models, and new ways to deliver multiple specialties of clinicians to the same location at the same time, no matter where they are in the world.Rezilient Health is seeking a skilled and detail-oriented Data Engineer to join our team. In this role, you will work alongside our business analysts, business leaders, clinical leaders, and the rest of our engineering team to help transform the way healthcare data impacts patient outcomes. You will design and implement scalable data infrastructure
to improve care delivery, operational efficiency, and business performance.RequirementsKey Responsibilities:Consistently evolve data model & data schema based on business and engineering requirementsDesign, build, and maintain data pipelines that ingest, process, and transform data from various sources, including clinical operations, patient interactions, and system performance.Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver reliable, accurate data solutions.Develop and manage the data infrastructure, including databases, data lakes, warehouses, and ETL processes.Ensure data integrity, accuracy, and security across all stages of the data lifecycle.Implement best practices in data modeling, database design, and data architecture to support robust analytics and reporting capabilities, as well as downstream ML / AI applications.Create and maintain documentation for data engineering processes and pipelines.Support data visualization efforts by preparing datasets for use in business intelligence tools like Tableau or Power BI.Stay current with industry best practices and emerging technologies in data engineering and healthcare analytics.Required Qualifications:Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s degree preferred).3+ years of experience in data engineering, analytics, or a related role.Strong proficiency in SQL and experience working with large-scale databases and data warehouses.Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and data storage solutions (e.g., Redshift, BigQuery, Snowflake).Proficiency in programming languages such as Python or Scala for data processing and analysis.Familiarity with ETL frameworks and tools like Apache Airflow, dbt, or similar.Experience with data visualization tools such as Tableau, Power BI, or Looker.Strong understanding of data governance, data quality, and security best practices.Ability to work cross-functionally and communicate technical concepts to non-technical stakeholders.Preferred Qualifications:Experience in the healthcare industry or working with healthcare-related datasets (e.g., clinical data, EHR systems).Familiarity with machine learning techniques and tools for predictive analytics.Knowledge of HIPAA regulations and healthcare data privacy standards.BenefitsThis opportunity offers the chance to shape the future of healthcare in a culture where your ideas and contributions have a meaningful impact on the organization's future. You’ll be part of a supportive, collaborative, and diverse team, with competitive compensation and benefits that include generous PTO, paid family leave, comprehensive medical, dental, vision, and life insurance, as well as stock options.
Rezilient is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. We believe in building a diverse workforce and encourage individuals from all backgrounds to apply.
to improve care delivery, operational efficiency, and business performance.RequirementsKey Responsibilities:Consistently evolve data model & data schema based on business and engineering requirementsDesign, build, and maintain data pipelines that ingest, process, and transform data from various sources, including clinical operations, patient interactions, and system performance.Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver reliable, accurate data solutions.Develop and manage the data infrastructure, including databases, data lakes, warehouses, and ETL processes.Ensure data integrity, accuracy, and security across all stages of the data lifecycle.Implement best practices in data modeling, database design, and data architecture to support robust analytics and reporting capabilities, as well as downstream ML / AI applications.Create and maintain documentation for data engineering processes and pipelines.Support data visualization efforts by preparing datasets for use in business intelligence tools like Tableau or Power BI.Stay current with industry best practices and emerging technologies in data engineering and healthcare analytics.Required Qualifications:Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s degree preferred).3+ years of experience in data engineering, analytics, or a related role.Strong proficiency in SQL and experience working with large-scale databases and data warehouses.Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and data storage solutions (e.g., Redshift, BigQuery, Snowflake).Proficiency in programming languages such as Python or Scala for data processing and analysis.Familiarity with ETL frameworks and tools like Apache Airflow, dbt, or similar.Experience with data visualization tools such as Tableau, Power BI, or Looker.Strong understanding of data governance, data quality, and security best practices.Ability to work cross-functionally and communicate technical concepts to non-technical stakeholders.Preferred Qualifications:Experience in the healthcare industry or working with healthcare-related datasets (e.g., clinical data, EHR systems).Familiarity with machine learning techniques and tools for predictive analytics.Knowledge of HIPAA regulations and healthcare data privacy standards.BenefitsThis opportunity offers the chance to shape the future of healthcare in a culture where your ideas and contributions have a meaningful impact on the organization's future. You’ll be part of a supportive, collaborative, and diverse team, with competitive compensation and benefits that include generous PTO, paid family leave, comprehensive medical, dental, vision, and life insurance, as well as stock options.
Rezilient is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. We believe in building a diverse workforce and encourage individuals from all backgrounds to apply.