Requirements:

Availability for meetings and impromptu communication during Quora's “coordination hours” (Mon-Fri: 9am-3pm Pacific Time)
2-5 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
Proficiency in Python and SQL query design
Experience 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:

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

Identify and implement improvements to the system’s cost efficiency, reducing data storage and processing costs
Design and implement scalable and efficient data architectures, meeting data needs from data scientists, engineers, and business partners
Bring 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, and employee assistance programs
Benefits are country-specific and may vary. For more information on benefits, visit: https://www.careers.quora.com/benefits