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Staff Analytics Engineer

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Sequel Med Tech

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Location:
United States , Manchester ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

175000.00 - 180000.00 USD / Year
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Job Description:

Sequel Med Tech is seeking an experienced Analytics Engineer to spearhead the design, development, and implementation of our long-term data strategy while supporting shorter-term data needs for our digital health portfolio. As a Staff Analytics Engineer you will play a pivotal role in shaping the future of healthcare for people living with diabetes, upskilling Sequel’s broader data and reporting capabilities while also working directly with our product teams as a subject matter expert on feature design and implementation. We are building out Sequel’s foundational data models that drive both clinical and business decisions where quality and accuracy are critical.

Job Responsibility:

  • 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

Requirements:

  • 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

Nice to have:

  • 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
What we offer:
  • 401k plan with a 6% company match and 100% immediate vesting
  • Capped out-of-pocket insulin costs and GLP-1 coverage across all plans
  • Variety of Meritain health insurance plans
  • Flexible Spending Accounts (FSAs) or 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

Additional Information:

Job Posted:
January 18, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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