Sequel Med Tech · 1 day ago
Staff Analytics Engineer
Sequel Med Tech is a company developing transformative drug-delivery advancements for diabetes management. They are seeking a Staff Analytics Engineer to lead the design and implementation of their data strategy while supporting digital health initiatives, ensuring data accuracy and quality in decision-making.
Health CareInformation TechnologyMedical
Responsibilities
Building data models and data pipelines for Snowflake using DBT and Airbyte
Ensuring the company’s data pipelines are efficient, well-tested, and accurate
Work closely with business leaders, technical teams, customers, and other stakeholders to identify opportunities to solve healthcare problems with data and to translate those opportunities into data science questions and data engineering requirements
Communicate complex data insights to clinical and business leaders to inform decision-making
Build clinical and business dashboards in Lightdash
Partner with technical teams to ensure data-driven functionality is designed, implemented, tested, and released with proper consideration to data quality, integrity, compliance, and use
Ensure quality, inclusion, impartiality, and accessibility in delivered products
Help develop best-in-class data science practices to support a rapidly growing organization
Qualification
Required
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. Masters preferred
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
Preferred
Experience in healthcare, including both patient- and clinician-facing applications
Awareness of healthcare regulations and ethical considerations related to patient data
Knowledge of machine learning algorithms (regression, classification, clustering, etc.)
Understanding of clinical data structures, coding systems, and healthcare terminology. Diabetes experience highly preferred
Benefits
401k plan, featuring a 6% company match and 100% immediate vesting
Capped out-of-pocket insulin costs
GLP-1 coverage across all plans
A variety of 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 even discounts for pet care
Employer-paid short-term disability
Life insurance
Flexible PTO
Generous paid holidays
Flex Time options
Company
Sequel Med Tech
We’re Sequel — a driven team of innovators and problem solvers laser-focused on improving the health and lives of people with diabetes.
H1B Sponsorship
Sequel Med Tech has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
Funding
Current Stage
Growth StageLeadership Team
William Doyle
Co-Founder and Director
Recent News
2025-09-27
businessweekly.co.uk
2025-09-25
Company data provided by crunchbase