Data Engineer

What You’ll Do 

Position Summary

Suvida’s Data team is hiring a Data Engineer who bridges modern data tooling with healthcare experience. As the first Data Engineer hire, you will work to migrate Suvida to a best-in-class data ingestion and orchestration platform, and be responsible for a high-performance, cost-effective solution to drive data availability throughout Suvida.

Responsibilities

• Working with the data engineering team leader, plan and execute migration to ELT platform (Synapse > Airbyte).
• Help own ingestion of novel data from source systems to Snowflake.
• Help own, maintain pipelines from Snowflake to other systems (Airtable, Elation, etc.)
• Empower the analytics team with robust, documented, and reliable staging models – the foundation of the BI platform (Lightdash).
• Write high-quality SQL and/or Python as needed for transformation, ingestion, extraction pipelines.
• Foster culture of excellence – create/update Confluence documentation, build observability into our data platform, and drive ownership of data artifacts.

What You’ll Bring

Knowledge, Skills, and Abilities

• 4–6 years of hands-on data experience, ideally within modern analytics or engineering environments.
• Advanced SQL proficiency, including building and optimizing queries in production environments.
• Experience with Snowflake and dbt (or comparable cloud data warehouse + transformation tools).
• Working knowledge of Python for analytics, automation, or pipeline extensions.
• Strong data pipeline experience, using tools such as Fivetran, Hevo, Airbyte, or similar ingestion platforms.
• Experience supporting or collaborating with software engineering teams, including familiarity with Git workflows, code reviews, and CI/CD principles.
• Proficient with modern BI and semantic layers, preferably Lightdash, but also open to candidates experienced with Looker, Tableau, or Power BI.
• Excellent communication skills with the ability to translate technical insights for non-technical stakeholders and build trust across teams (Finance, Clinical Ops, Population Health).
• Experience migrating or modernizing large-scale technology platforms (e.g., warehouse, BI, workflow tooling).
• Demonstrated ability to design systems that source from a central data warehouse and sync or push data into downstream tools.
• Healthcare domain experience is a strong plus.

Education, Experience, Licensure, or Certification Requirements

• Bachelor’s in a quantitative field (e.g., Statistics, Math, Economics, Engineering, Public Health, CS, Finance) or equivalent experience. Graduate degree a plus.

Our Tech Stack:

• Snowflake
• dbt
• Lightdash
• Hex
• Airtable
• Airbyte
• Fivetra
• Microsoft Synapse

Suvida Healthcare provides equal employment opportunities to all Team Members and applicants for employment and prohibits discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.