Senior Data Engineer

Sunny is changing the world by leveraging digital technologies to help people live healthier lives. The Senior Data Engineer role combines technical leadership with hands-on development, ensuring reliable, scalable, and impactful data solutions.

Responsibilities:

• Lead and mentor Data Analysts and Data Engineers, including sprint planning, workload balancing, and code reviews
• Design, implement, and maintain data pipelines and models that support reporting, analytics, and productized data offerings
• Establish and enforce standards for code quality, version control, data governance, and documentation
• Collaborate with product, engineering, and business stakeholders to translate requirements into scalable data solutions
• Manage data refresh schedules, optimize workflows, and ensure performance at scale
• Contribute to a culture of collaboration, innovation, and continuous improvement within the team

Requirements:

• 5+ years of experience in data engineering, data analysis, or related field
• Expertise with AWS Redshift, SQL, and dbt
• Experience working with AI-assisted or AI-enhanced development workflows, including the use of modern coding copilots and automation tools to accelerate engineering productivity
• Proven experience leading technical projects or small teams
• Strong skills in data modeling, pipeline design, and performance optimization
• Proficiency with GitHub and collaborative development workflows (e.g., pull requests, CI/CD)
• Ability to translate stakeholder needs into actionable data solutions
• Ability to take ownership of projects and independently drive them from concept to completion, delivering high-quality results on time, in a remote setting
• Master's degree or additional years of experience
• Experience with scalable data processing such as Spark or Databricks
• Familiarity with AWS services such as Lambda, S3, etc
• Industry experience in healthcare or fintech analytics
• Exposure to modern visualization tools (e.g., Tableau, Power BI)