Requirements:

Availability for meetings and impromptu communication during Quora's "coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
Must have 4+ years of experience working in Data Infrastructure
Flexibility for working and owning different Data Engineering systems. Open to working on the areas with highest priority for the company at a given time
Operational mindset with ability to do Problem diagnosis, Root cause analysis, Performance tuning and Incident Management
Proficiency in Python and SQL query design
Proficiency with big data processing frameworks, like: Hive, Spark and Trino
Experience building data-intensive applications (high velocity/high volume)
Experience with SQL/NoSQL data store & data lake operations

Preferred Requirements:

Hands-on experience with AWS technologies like S3, EC2, RDS, EKS, or in Apache Iceberg
Flexible and positive team player with good interpersonal skills

Design and implement scalable and efficient data architectures, meeting data needs from data scientists, engineers, and business partners
Identify and implement improvements to system’s cost efficiency, reducing data storage and processing costs
Bring your expertise to help model structured & unstructured data. Own these data models at a high level & be a data consultant for partner teams
Champion best practices on system usages and hold high-quality code standards
Participate in the team’s on-call rotation, helping solve timely reliability incidents

Wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more
Salary ranges based on location and specific benefits offered
Equal opportunity employer with a focus on diversity and inclusivity