Senior Data Engineer, Virta Health
Analytics
$167.2-216k
+ Equity
More information about location
Diabetes reversal treatment
Open for applications
Diabetes reversal treatment
501-1000 employees
Open for applications
$167.2-216k
+ Equity
More information about location
501-1000 employees
Company mission
To reverse diabetes and obesity in one billion people.
Role
Who you are
- 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
- 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
- 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
What the job involves
- 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
- 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
- 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
Our take
Much of the care for type 2 diabetes has been based on control and prevention, rather than a direct reversal of the issue. Virta Health is changing that, providing patients with personalized treatment plans, virtual monitoring and patient care.
Instead of depending upon medication, which often needs to be increased over time, the company is tackling the problem at its root and taking a fundamentally different approach that is better for the patient, and more economical for insurers. Among enrolled patients in its clinical trial at one year, 60% achieved diabetes reversal.
While platforms like Vida Health also serve similar markets, the large number of prediabetic (88M) and diabetic (30M) Americans presents a significant opportunity for growth. Along with its significant funding round in 2021 fueling its efforts to expand the reach of its telehealth-powered diabetes reversal treatment. Positioning the company for widespread adoption and continued success in addressing this critical healthcare challenge.
Steph
Company Specialist at Welcome to the Jungle
Insights
4% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Apr 2021
$133m
SERIES E
Dec 2020
$65m
SERIES D
Total funding: $373m
Company benefits
- Remote-first work environment with ability to work from home
- Flexible work hours & time off policy
- Virta pays 99% of all employee health insurance premiums, and 75% for all dependents
- Up to 16 weeks paid parental leave
- Enroll in the Virta treatment for free and give a discount to friends and family
- Internet, home office, learning & development stipends
- Employee Resource Groups like Parents of Virta, Ladies of Virta, and Virtans for DEI
- 401K and ROTH contribution opportunities
Company HQ
Civic Center, Denver, CO
Leadership
Sami Inkinen
(Co-Founder & CEO)Worked on Microsoft’s strategy team for MS Office, and as a consultant for McKinsey & Company within the software, telecommunications, and government sectors. Co-founder of online real estate marketplace Trulia, serving as its COO until its IPO and eventual sale to Zillow Group.
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