Analytics Engineering Lead
About Novellia
Novellia is the first and only company that lets anyone in the US gain access to nearly a decade of their health data in under 30 seconds, 100% free. All your health records, across doctors, in one place, always up to date.
We are the only patient-powered real-world data platform delivering comprehensive, patient-authorized longitudinal health insights to accelerate biopharma innovation. Unlike traditional RWD providers who offer fragmented institutional data, we empower patients to access 15+ years of their health records for free, then transform these complete health journeys into fit-for-purpose datasets for evidence generation, regulatory submissions, and market access.
We’re growing 5x YoY with top pharma partners. Our data have been published with leading scientific organizations such as ASCO and SABCS/AACR, and we are backed by tier-1 investors including Spark Capital, Khosla Ventures, Bling Capital, and more.
About the Role
We are seeking an experienced Analytics Engineer to own and scale Novellia's analytics engineering function. Title — whether Senior, Lead, or Staff — will reflect the right candidate's experience and scope.
This role is deeply technical. You will architect, build, and maintain the data models, pipelines, and infrastructure that power our research, product, and commercial work. You will report directly to the CTO and have end-to-end ownership of analytics engineering. At the same time, this is not a siloed role. You will work closely with Engineering, Data Science, and our Commercial team (Sales, Client Solutions, Marketing) to ensure our data is clean, reliable, research-ready, and aligned with customer needs. You should also be comfortable engaging directly with clients when needed - whether that’s providing technical context alongside our Commercial team, or answering pointed questions from our biopharma partners. This role will also partner closely with the Senior Data Analytics Engineer, Commercial Team, who owns client-facing analytics and insight delivery — ensuring that the data infrastructure you build directly powers the work our partners rely on.
We are a fast-growing Series A company. That means ambiguity, changing priorities, and high standards. The right person thrives in that environment — bringing rigor, initiative, and a calm, collaborative approach to solving complex problems.
What Success Looks Like (First 6–12 Months)
Develop a deep understanding of our data infrastructure and identify opportunities for improvement
Ensure models and pipelines are well-documented, reproducible, and built for scale
Establish clear standards and processes that make it easy for others to build on your work
Build strong working relationships with cross-functional stakeholders and become a trusted technical partner
Contribute to a culture of technical excellence and collaborative problem-solving
Responsibilities
Design, implement, and manage scalable data pipelines and analytics platforms.
Build and maintain dbt models to support customer projects and internal decision making.
Work with internal stakeholders to ensure data products are research-ready and aligned with customer needs
Implement and manage data instrumentation and product analytics tooling (e.g. Mixpanel) to ensure accurate tracking and reporting
Identify opportunities for optimizing data workflows and proactively address technical debt.
Partner with Engineering, Data Science, and Commercial teams to translate business and client needs into reliable, scalable data solutions
Requirements
5+ years of experience in data engineering or analytics roles in a startup or high growth environment.
Proficiency in SQL and experience with dbt for data modeling and transformations.
Strong experience with modern data warehouse platforms (Snowflake, BigQuery, Redshift)
Strong understanding of data architecture, ETL processes, and pipeline management.
Proven ability to manage and own data products end-to-end, ideally from scratch.
Experience with cloud platforms (AWS, GCP, etc.) for data storage and processing.
Familiarity with product analytics tooling (e.g. Mixpanel) and modern BI tools (e.g. Looker, Tableau, Metabase)
Clear communicator who can translate complex technical concepts for non-technical stakeholders
Proven ability to operate effectively in ambiguous, fast-moving environments
Builds well-documented, maintainable systems with a focus on long-term scalability
Leverages AI tooling to improve system design, accelerate documentation, and automate repetitive workflows
Bonus Skills
Experience with natural language processing (NLP) techniques and tools for analyzing unstructured text data.
Knowledge of distributed computing frameworks (e.g., Spark, Hadoop) and big data processing technologies.
Familiarity with time-series data analysis and forecasting techniques.
Contributions to open-source projects or active participation in the developer community.
Familiarity with healthcare data formats like FHIR and CCDA.
Who You Are
Deeply technical and proud of your craft
High ownership: you don’t wait to be told what’s broken
Creative under constraints
Direct and low-ego in collaboration
Comfortable giving and receiving feedback
Energized by building systems that scale beyond yourself
Benefits & Perks
Competitive equity package
Medical, dental, and vision coverage
401(k)
Flexible time off
Wellness stipend
Up to 12 weeks of parental leave
Don’t meet every requirement? Studies show women and people of color are less likely to apply unless they meet 100% of qualifications. At Novellia, we’re committed to building a diverse, inclusive workplace. If you’re excited about this role but don’t meet every requirement, we encourage you to apply.
U.S. Applicants Only.