spearhead the design, development, and implementation of long-term data strategy
support shorter-term data needs for digital health portfolio
play a pivotal role in shaping the future of healthcare for people living with diabetes
upskill broader data and reporting capabilities
work directly with product teams as a subject matter expert on feature design and implementation
build Sequel’s foundational data models that drive clinical and business decisions
proactively identify problems and implement solutions

6+ years’ experience in data science or data engineering
Bachelor’s degree in Computer Science, Mathematics, Machine Learning, or related field, or combination of relevant experience and education
Proficiency with SQL and Python with strong knowledge of data manipulation and analysis libraries
Experience with data transformation tools such as DBT, SQL Mesh, Airflow, etc.
Experience with cloud data platforms such as Snowflake, Databrick, Big Query, Redshift, etc.
Experience with engineering best practices including the use of version control
Ability to clearly communicate complex technical concepts to non-technical stakeholders

automatic enrollment in 401k plan with 6% company match and 100% immediate vesting
capped out-of-pocket insulin costs and GLP-1 coverage across all plans
access to Meritain health insurance plans
Flexible Spending Accounts (FSAs)
Health Savings Account (HSA)
vision and dental coverage
voluntary options such as long-term disability, accident, critical illness, hospital indemnity, and pet care discounts
employer-paid short-term disability and life insurance
flexible PTO
generous paid holidays
Flex Time options

Staff Analytics Engineer

Key skills