Responsibilities
- Create advanced data workflows and ETL systems for handling large-scale datasets
- Optimize data processing costs and storage efficiency, both independently and with other teams
- Establish data quality standards and governance frameworks to maintain accuracy and regulatory compliance
- Strengthen scalability, uptime, and performance of data infrastructure systems
- Build internal tools to improve development speed and operational effectiveness
- Engage in cross-departmental initiatives, offering technical leadership and solutions
- Work closely with teams across Infrastructure, Machine Learning, Data Science, Analytics, and Production to enhance platform capabilities
- Lead a small engineering team to deliver critical data engineering projects
Benefits
- Medical, dental, and vision insurance, 401(k) with company match, disability coverage, life insurance, and well-being benefits for U.S. employees
- Up to 12 paid company holidays annually for U.S.-based staff
- Flexible Time Off (FTO) available to all employees
- Eligibility for performance-based bonuses and equity compensation
Compensation
Bonus and equity awards may be offered based on eligibility
Work Arrangement
Not specified
Team
Collaborative environment working with Infrastructure, Machine Learning, Data Science, Analytics, and Production teams
Other
- Flexible Time Off (FTO)
- up to 12 scheduled paid holidays per calendar year
- one Thrive Day off per quarter
Not specified