Data Analytics Engineer

Who We Are At Suvida Healthcare, we are not just caregivers; we're compassionate advocates dedicated to enriching the lives of our cherished seniors. As a Team Member with us, you will embark on a fulfilling journey where your skills and empathy converge to make a meaningful impact on the well-being of an underserved community and their families. Our multi-disciplinary primary care program is built to address the physical, behavioral, social, and cultural needs of Medicare-eligible Hispanic seniors.  Celebrate diversity and inclusivity in a workplace that attracts, engages, values, rewards, and recognizes the unique needs and backgrounds of both, our patients and our team. We believe that a rich tapestry of experiences,  shared interests, and perspectives enhances the care we provide, making us a stronger, service-centered,  and more compassionate healthcare family and Employer of Choice!  Will you join us Suvidanos, to help achieve our Higher Purpose? What Makes Us Unique  We are an empowered primary care team, clinical operations, and support team creating health equity through an exceptional clinical and consumer experience that improves the quality of life for the people, families, and neighborhoods we serve. We tailor our primary care program to the culture, language, social, and overall well-being of the seniors we serve.  How We WorkOur Culture & Core Beliefs

• Earn Trust
• Building Relationships
• Creating Joy
• Doing Right
• Improving Every Day
• Moving Forward

Our Promise

• Purpose Driven Career
• Competitive Pay
• Best-In-Class Medical/Dental Coverage 
• Free Mental Health & Life Coaching for Team Members and their Dependents
• Holiday Time Off with Pay
• Paid Community Service Day
• Paid Parental/Family Leave
• Paid Bereavement Leave
• Generous Paid Time Off (PTO)
• 401k Retirement Plan with Company Match
• And much more....

 What You’ll Do 
Position SummarySuvida Healthcare’s Data Strategy and Analytics team is seeking a talented Analytics Engineer to work in our Data and Analytics team to help us continue building a robust modern data platform. This platform will service broad internal teams including Population Health, Clinical, Finance, and Strategy teams. The Analytics Engineer will be responsible for playing a key role in leading delivery of data and analytics projects, data engineering processes, and implementation of data solutions driving insights for the business. This role will serve as an important part of the Data and Analytics team to improve data processes designs that assist the primary care team to deliver high quality preventive care to patients.  
Essential responsibilities of this role include, but are not limited to:   

• Understand our data needs, design and implement data extraction processes, model data, and write data transformations.
• Ensure that data pipelines are scalable, repeatable, and secure.
• Work with cross-functional teams and stakeholders to identify use cases for data reporting and dashboarding and implement new pipelines and data models.
• Help train users on data capabilities and best practices.
• Help prepare and perform complex analyses of healthcare data, serving as an SME to cross-functional stakeholders.

  What You’ll Bring 
 What You’ll Bring - Experience Requirements
Knowledge, Skills, and Abilities

• Familiarity with setting up CI/CD data pipelines with observability and fault tolerance.
• Familiarity with DAG principles.
• Proficient in SQL and have a strong working knowledge of software engineering workflow tools (version control, testing principles, etc.). Familiarity with Python, or similar data-centric language.
• Proven ability to model data for reporting, analytics use cases.
• Experience and strong interest in the analytics side of data, e.g., collecting requirements, defining and implementing metrics, developing dashboards.
• Healthcare experience, specifically value-based care, a plus.

Education, Experience, Licensure, or Certification Requirements

•  Undergraduate or Graduate degree in STEM-related field, or equivalent on the job experience is preferred
• 2+ years of experience in Data, Analytics, or a similar role.
• 1+ years of experience with modern cloud-based data tools for extraction, warehousing, transformation, and orchestration. Snowflake and DBT are preferred.

 Physical Demands While performing the duties of this job, the employee is required to sit for prolonged pe