Senior Data Engineer, Analytics

Virta Health is on a mission to transform type 2 diabetes and weight-loss 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 all-time 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 top-tier 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, Analytics to play a pivotal role in building and scaling the data foundation for our high-growth company. This is an exciting opportunity to architect data models, optimize pipelines, and shape the future of analytics at a company where data is central to every decision. You’ll have the chance to design scalable solutions, automate workflows, and empower teams with self-serve analytics, unlocking insights that drive real business impact. If you're passionate about building from the ground up, solving complex data challenges, and making data truly accessible, we’d love to have you on board! 🚀

Responsibilities

• 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 self-service analytics tools that provide meaningful insights. Our primary tools are Looker and Amplitude.

• Ensure data quality and integrity through testing, validation, and documentation.

• Monitor and improve analytics 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.

90 Day Plan

Within your first 90 days at Virta, we expect you will do the following:

• Get Fully Onboarded & Understand the Data Ecosystem – Gain deep familiarity with our data warehouse, ELT pipelines, and BI setup. Meet with key stakeholders (engineering, analytics, and business teams) to understand existing data pain points, priorities, and opportunities for improvement.

• Lead the migration of our Legacy Looker instance to Google Looker (core) - Our Looker instance has been around since before Google acquired Looker, so we’re due for an upgrade! Help create the plan for transitioning work into new Looker, including establishing best practices. Serve as the team’s technical expert as we begin to build a better BI experience for everyone.

• Audit & Document the Current Data Stack – Conduct a review of data pipelines, transformation logic, and data models, identifying inefficiencies, inconsistencies, or areas for optimization. Create documentation to clarify how data flows through the system.

• Tackle a Quick Win to Improve Data Reliability or Performance – Identify and execute one or two high-impact optimizations, such as fixing a slow-running query, improving a model, or cleaning up a problematic dashboard, to build credibility and show immediate value.

• Establish Best Practices & Start Automating Key Workflows – Introduce small but meaningful improvements to pipeline reliability, automated testing , and version control processes to ensure data consistency and governance.

• Align on Strategy & Roadmap for Future Improvements – Work with stakeholders and the analytics team to define priorities for the next 6-12 months, ensuring alignment with business needs. Develop an initial roadmap for architecture, scalability, and self-serve analytics improvements.

This will set the foundation for long-term success while delivering early wins and getting fully embedded in Virta’s data environment.

Must-Haves

• 5 - 8 years of experience in data engineering, analytics engineering, or a related field.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field, with strong coursework in databases, data structures, and system design, or equivalent industry experience. 

• Strong proficiency in SQL and Python and experience working with cloud data warehouses (e.g., BigQuery), model analytics pipeline and orchestration tools (e.g., dbt, Dagster, Airflow), and self-service analytics tools (e.g., Looker). 

• A solid understanding of analytics database concepts, ELT pipelines, and best practices in data modeling.

• Ability to work cross-functionally with stakeholders to gather requirements and deliver impactful solutions.

• Strong problem-solving skills and a passion for building scalable data solutions.

• [Nice to have] Experience in the healthcare industry or otherwise handling sensitive data.
  

Values-driven culture

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 evidence-based and prioritize data and science over seniority or dogma

• You take risks and rapidly iterate

Is this role not quite what you're looking for? Join our Talent Community and follow us on Linkedin to stay connected!

As part of your duties at Virta, you may come in contact with sensitive patient information that is governed by HIPAA. Throughout your career at Virta, you will be expected to follow Virta's security and privacy procedures to ensure our patients' information remains strictly confidential. Security and privacy training will be provided.

#LI-remote

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.com/careers.

As part of your duties at Virta, you may come in contact with sensitive patient information that is governed by HIPAA. Throughout your career at Virta, you will be expected to follow Virta's security and privacy procedures to ensure our patients' information remains strictly confidential. Security and privacy training will be provided.

As a remote-first company, our team is spread across various locations with office hubs in Denver and San Francisco. We currently do not hire in the following states: AK, AR, DE, HI, ME, MS, NM, OK, SD, VT, WI.

#LI-remote