Analytics Engineering Lead
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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 • 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. • 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
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
Benefits
• Medical, dental, and vision coverage • 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.
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