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Data Engineer

Data Engineers at Bask Health build and maintain the robust data infrastructure that powers our innovative telehealth platform. From designing pipelines and models for product analysis to crafting patient-facing data products, your work will directly enhance the quality of care and drive meaningful healthcare insights. By creating scalable, efficient, and reliable data solutions, our data engineers enable informed decision-making across teams and ensure we’re always innovating ahead of the curve. Whether embedded within a product team or part of a centralized data engineering group, your contributions will help redefine healthcare experiences for patients and providers worldwide.

Data Engineer

Data Engineers at Bask Health build and maintain the robust data infrastructure that powers our innovative telehealth platform. From designing pipelines and models for product analysis to crafting patient-facing data products, your work will directly enhance the quality of care and drive meaningful healthcare insights.

By creating scalable, efficient, and reliable data solutions, our data engineers enable informed decision-making across teams and ensure we’re always innovating ahead of the curve. Whether embedded within a product team or part of a centralized data engineering group, your contributions will help redefine healthcare experiences for patients and providers worldwide.

Job Details

  • Department: Engineering
  • Location: New York, NY, United States
  • Employment Type: Full-time

Requirements

Education & Experience

  • Bachelor’s degree in Computer Science, Data Engineering, or a related field.
  • 3-5+ years of professional experience in data engineering, data infrastructure, or similar roles, preferably in the healthcare or tech industry.
  • Proven ability to design and implement scalable, reliable, and secure data pipelines in production environments.

Technical Expertise

  • Advanced proficiency in SQL and programming languages such as Javascript or Typescript
  • Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow, dbt, Luigi).
  • Expertise in ETL/ELT processes, including designing and maintaining data warehouses or lakes.
  • Familiarity with cloud platforms like AWS, GCP, or Azure for building scalable data solutions.
  • Strong understanding of data modeling and schema design for large-scale analytics.
  • Experience working with streaming data frameworks

Benefits

Full Description

Data Engineers at Bask Health build and maintain the robust data infrastructure that powers our innovative telehealth platform. From designing pipelines and models for product analysis to crafting patient-facing data products, your work will directly enhance the quality of care and drive meaningful healthcare insights.

By creating scalable, efficient, and reliable data solutions, our data engineers enable informed decision-making across teams and ensure we’re always innovating ahead of the curve. Whether embedded within a product team or part of a centralized data engineering group, your contributions will help redefine healthcare experiences for patients and providers worldwide.

Requirements

Education & Experience

  • Bachelor’s degree in Computer Science, Data Engineering, or a related field.
  • 3-5+ years of professional experience in data engineering, data infrastructure, or similar roles, preferably in the healthcare or tech industry.
  • Proven ability to design and implement scalable, reliable, and secure data pipelines in production environments.

Technical Expertise

  • Advanced proficiency in SQL and programming languages such as Javascript or Typescript
  • Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow, dbt, Luigi).
  • Expertise in ETL/ELT processes, including designing and maintaining data warehouses or lakes.
  • Familiarity with cloud platforms like AWS, GCP, or Azure for building scalable data solutions.
  • Strong understanding of data modeling and schema design for large-scale analytics.
  • Experience working with streaming data frameworks