Virta Health is on a mission to transform type 2 diabetes and weightloss care. Current treatment approaches aren’t working—over half of US adults have either type 2 diabetes or prediabetes, and obesity rates are at an alltime high. Virta is changing this by helping people reverse their metabolic condition through innovations in technology, personalized nutrition, and virtual care delivery reinvented from the ground up. We have raised over $350 million from toptier investors, and partner with the largest health plans, employers, and government organizations to help their employees and members restore their health and take back their lives. Join us on our mission to reverse diabetes and obesity in one billion people.
We’re looking for a Senior Data Engineer to play a pivotal role in building and scaling the data foundation for our highgrowth company. This is an exciting opportunity to deliver scalable solutions that optimize operations and data quality, support complex client needs, and expand data access to drive growth. Your work will directly enhance our data accuracy, auditability, and operational efficiency by transforming fragmented, manual processes into robust, automated data products. This role requires a handson approach to solving complex data challenges that have a direct impact on the companys data reporting and scalability.
Design, develop, and maintain ELT data pipelines to ensure reliable and efficient data processing. Our tools include dbt, Dagster, and GCP.
Build and optimize data models to support analytics and reporting needs.
Collaborate with analysts and business stakeholders to create and maintain selfservice tools that provide operational and analytical services.
Ensure data quality and integrity through testing, validation, and documentation.
Monitor and improve database performance, optimizing queries and warehouse costs. Our analytics database lives on BigQuery.
Automate and improve our data pipeline workflows for scalability and efficiency.
Work closely with product, engineering, and business teams to understand data requirements and translate them into effective solutions.
5–8 years of experience in data engineering, analytics engineering, or a similar field.
Strong proficiency in SQL and Python.
Handson experience with cloud data warehouses (e.g., BigQuery), data transformation tools (e.g., dbt), and workflow orchestration (e.g., Dagster or Airflow).
Experience designing and maintaining robust ELT pipelines and scalable data models.
Familiarity with selfservice analytics tools (e.g., Looker) and stakeholder collaboration.
Proven ability to solve complex problems and deliver data solutions that drive business impact.
Virta’s company values drive our culture, so you’ll do well if:
You put people first and take care of yourself, your peers, and our patients equally
You have a strong sense of ownership and take initiative while empowering others to do the same
You prioritize positive impact over busy work
You have no ego and understand that everyone has something to bring to the table regardless of experience
You appreciate transparency and promote trust and empowerment through open access of information
You are evidencebased and prioritize data and science over seniority or dogma
You take risks and rapidly iterate
Is this role not quite what youre looking for? Join our Talent Community and follow us on Linkedin to stay connected!
Virta has a location based compensation structure. Starting pay will be based on a number of factors and commensurate with qualifications & experience. For this role, the compensation range is $167,249 $216,000. Information about Virta’s benefits is on our Careers page at: https:www.virtahealth.comcareers.
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