Job Description

Title: Staff Healthcare Data Engineer – remote

Location: Remote

About Our Company

Vytalize Health is a leading value-based care platform. It helps independent physicians and practices stay ahead in a rapidly changing healthcare system by strengthening relationships with their patients through data-driven, holistic, and personalized care. Vytalize provides an all-in-one solution, including value-based incentives, smart technology, and a virtual clinic that enables independent practices to succeed in value-based care arrangements. Vytalize’s care delivery model transforms the healthcare experience for more than 250,000+ Medicare beneficiaries across 36 states by helping them manage their chronic conditions in collaboration with their doctors.

About our Growth

Vytalize Health has grown its patient base over 100% year-over-year and is now partnered with over 1,000 providers across 36-states. Our all-in-one, vertically integrated solution for value-based care delivery is responsible for $2 billion in medical spending. We are expanding into new markets while increasing the concentration of practices in existing ones.

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Why you will love working here

We are an employee first, mission driven company that cares deeply about solving challenges in the healthcare space. We are open, collaborative and want to enhance how physicians interact with, and treat their patients. Our rapid growth means that we value working together as a team. You will be recognized and appreciated for your curiosity, tenacity and ability to challenge the status quo; approaching problems with an optimistic attitude. We are a diverse team of physicians, technologists, MBAs, nurses, and operators. You will be making a massive impact on people’s lives and ultimately feel like you are doing your best work here at Vytalize.

We are building out a world-class engineering team to empower our business. As a Staff Data Engineer, you will be responsible for overseeing the data architecture implementation and integration processes, with a primary focus on seamlessly integrating structure/semi-structure/unstructured data from various data sources and driving integration initiatives with our internal/external systems. You will collaborate with cross-functional teams, leveraging your expertise to ensure the efficient flow of data, optimize data pipelines, and contribute to the overall success of our healthcare data ecosystem. This is a highly impactful role that delivers huge value to the company resulting in potential annual saving of tens or hundreds of millions of dollars.


  • Data Architecture and Integration
    • Lead efforts to enhance, extend, and strengthen our existing data architectures to support the current and future new business use cases, including ingesting new data sources (Payer claims, ADT, Clinical, Labs data, etc.) to our central data management system.
    • Develop and optimize data pipelines for the extraction, loading, and transformation (ELT) of healthcare data and ensure delivery to internal/external systems with high quality.
  • Payer Claims / Clinical Data Integration
    • Collaborate with stakeholders to understand business requirements related to Payer claims data while supporting existing needs for Centers for Medicare & Medicaid Services (CMS) data
    • Implement solutions for integrating and harmonizing other forms of data including clinical data (Labs, ADT ect.), ensuring accuracy, completeness, and compliance with regulatory standards.
  • EMR Systems Integration
    • Support key initiatives to integrate our internal tech platform with various Electronic Medical Record (EMR) systems.
    • Work closely with EMR vendors and internal teams to establish seamless data exchange, inflow/outflow and interoperability.
  • Data Quality/Governance/Security
    • Implement robust data quality assurance processes to validate and ensure the accuracy of integrated healthcare data.
    • Collaborate with data governance and IT teams to establish and enforce data quality and security policies and standards for full business compliance
  • Execution and Delivery
    • Act as a player-coach for other data engineers and be willing to dive into the implementation and get things done as needed.
    • Be a strong partner to engineering leadership to achieve repeatable successes in project delivery while uphold high standards on engineering excellence and team building
  • Collaboration and Communication
    • Collaborate with cross-functional teams, including our Lead Clinical Data Architect, product managers, analytics, and IT professionals, to understand data needs and deliver effective solutions.
    • Communicate technical concepts and solutions to non-technical stakeholders, fostering a culture of data-driven decision-making.


  • Master’s or PhD degree in Computer Science, Information Systems, or a related field.
  • 15+ years of engineering experience.
  • Proven expert experience in data engineering, having built complex data systems end to end while being accountable for the outcome.
  • Strong domain knowledge working in the healthcare industry, expertise dealing with healthcare data is a must have. Prior experience in value-based Care space is a big bonus.
  • Strong proficiency in SQL, Python, and other relevant programming languages.
  • Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP).
  • Familiarity with healthcare data standards, regulations, and interoperability standards such as (FHIR, HIE)
  • Excellent communication and problem-solving skills and the ability to work in a dynamic and collaborative environment.
  • Cultural value principles: Proactivity, Tenacity, Reliability, Excellence, Clarity, Optimism, Transparency, Kindness. If these resonate well with you, you should ping us.