City: Santa Monica, CA | Seattle | NYC Onsite/ Hybrid/ Remote: Onsite (4 days a week) Work Authorization: GC, USC, All valid EADs except H1b Duration: 25 months Must Have: • Proficiency in SQL and Python • Familiarity with statistical methods for assessing data quality • 3+ years of experience with at least one database technology (e.g., MySQL, Snowflake, Hive) • Experience designing and executing complex queries to verify datasets • Experience working in data engineering environments and collaborating with stakeholders • Strong data quality and data reliability mindset • Experience with data pipeline monitoring and setting up production checks Responsibilities: • Build models to evaluate data quality, consistency, and reliability across multiple business units • Implement intuitive metrics that provide actionable insights into data health • Automate data rules, checks, and processes to validate data meets standards and alerts owners when issues arise • Work closely with engineering, product, and business teams to understand data flows and ensure robust monitoring and data validation • Own relationships with assigned business verticals, coordinating with directors, leads, and analytics teams to prioritize monitoring needs • Provide ongoing feedback to internal tooling teams to enhance and scale data quality tools • Participate in peer code reviews and team-wide standardization efforts • Conduct periodic meetings and ad hoc analysis to support data certification initiatives Qualifications: • 5+ years of experience in data engineering, with a focus on quality assurance and data validation • Bachelor’s degree in STEM (Science, Technology, Engineering, Math) • Ability to work autonomously and proactively manage relationships with stakeholders • Experience with big data technologies (e.g., Hadoop, S3, HBase) is a plus • Proficiency with data visualization tools (e.g., Tableau, Looker) and version control (e.g., Git) is a plus • Excellent communication and collaboration skills