Member of Technical Staff — Data Quality Operations
Join Patronus AI as a Data Quality Operations engineer to enhance data integrity and reliability in a dynamic startup environment.
Posted by employer 6 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 3 hours ago
Skills & Technologies
Requirements
- Experience
- 3+ years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In this role, the individual is responsible for ensuring the integrity and quality of data across various systems, actively monitoring and resolving data discrepancies. Proficiency in data analysis tools and a strong understanding of data governance principles are essential for success. This position is ideal for someone with a solid background in data operations, preferably at a mid to senior level, who thrives in a fast-paced, tech-driven environment. Patronus AI emphasizes collaboration, making it a fitting opportunity for those who enjoy working within a dynamic team.
Joblaze insights
- Listed 8 days ago on Joblaze — tracked directly from Patronus AI's career page.
- Patronus AI has 10 other open roles including Member of Technical Staff - QA Engineer, Founding Recruiter, Founding Marketer.
- 149 active Data Engineering roles on Joblaze right now.
- 17 active Data Quality roles on Joblaze right now.
- Typical Data Engineering salary we track runs $152,700–$200,000 (median $180,000, across 55 roles).
Quick facts
- How much experience is required?
- At least 3 years of relevant experience for this Member of Technical Staff — Data Quality Operations role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Data Engineering, Data Quality.
- What seniority level is this role?
- Patronus AI targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Member of Technical Staff — Data Quality Operations role at Patronus AI.