Senior Data Engineer, Data Platform Admin

🔥 0 minutes ago

🐻 Alaska, Iowa, +6 more states – Remote

🐻 Alaska – Remote 🌾 Iowa – Remote 🌾 Nebraska – Remote 🎸 Mississippi – Remote 🗿 South Dakota – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote

💵 $172.6k - $203k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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ŌURA

WebsiteLinkedInAll Job Openings

201 - 500 employees

🧘 Wellness

Wellness • Wearables • Health

ŌURA is a company that produces smart rings designed to provide in-depth health metrics and insights. The Oura Ring tracks a variety of health-related data such as sleep patterns, heart rate, activity levels, and stress. It aims to help users live healthier and more productive lives through accurate biometrics tracked via a comfortable ring worn all day and night. With features that benefit women's health, heart health, and overall wellness, ŌURA rings are marketed as both technologically advanced and user-friendly devices for personal health monitoring.

📋 Description

• Own day-to-day administration, configuration, and health of Oura's global Databricks environment, serving stakeholders across IT, business, and data science domains. • Manage workspace governance: access controls, cluster policies, cost monitoring, job scheduling, and security configurations. • Support onboarding of new teams and use cases onto the Databricks platform as Oura unifies data across Finance, SDM, Commerce, Marketing, and other domains. • Proactively identify and resolve performance bottlenecks, reliability issues, and cost inefficiencies. • Maintain SLAs for platform availability and incident response across global time zones. • Partner with IT and Data Architecture teams to align platform configurations with Databricks best practices and Oura's Data Mesh approach.

🎯 Requirements

• 5+ years of experience in data engineering or platform/infrastructure engineering. • Hands-on Databricks administration experience: workspace management, cluster configuration, access control (Unity Catalog preferred), and job orchestration. • Strong understanding of Apache Spark and distributed compute fundamentals. • Experience running production data systems on AWS (S3, Glue, Kinesis, IAM) or equivalent cloud platforms. • Familiarity with workflow orchestration tools and CI/CD practices. • Ability to support and communicate with non-technical stakeholders across multiple business domains. • Self-motivated and comfortable operating with autonomy in a distributed team environment.

🏖️ Benefits

• Competitive salary and equity packages • Health, dental, vision insurance, and mental health resources • An Oura Ring of your own plus employee discounts for friends & family • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off • Paid sick leave and parental leave