Tatari is looking for a Sr. Data Quality Engineer to join the Reporting and Measurement Engineering team. The ideal candidate will have 5+ years of experience in data quality engineering, data engineering, or backend engineering with a strong focus on automated testing and data validation. The role will involve building and maintaining data validation frameworks, developing automated data quality checks, and partnering with engineers, data scientists, and product managers to ensure the reliability and trustworthiness of the data powering Tatari's client-facing dashboards and analytics.
Requirements
- Build and maintain data validation frameworks for critical measurement and reporting pipelines
- Develop automated data quality checks across ingestion, transformation, and reporting layers
- Own pytest infrastructure improvements and drive integration testing patterns across the engineering org
- Partner with engineers, data scientists, and product managers to debug complex data issues and define data quality standards
- Evaluate, adopt, and own data quality and lineage tooling to improve pipeline observability and traceability
- Define and enforce data quality standards for new feature launches and pipeline changes
- Monitor pipeline health and build alerting for data anomalies in collaboration with SRE
- Mentor engineers across the org on data quality best practices and contribute to a culture of testing excellence
Benefits
- Total compensation ($140,000-170,000/annually)
- Equity compensation
- Health insurance coverage for you and your dependents
- 401K, FSA, and commuter benefits
- $150 monthly spending account
- $1,000 annual continued education benefit
- $500 Newbie Productivity Perk
- Unlimited PTO and sick days
- Monthly Company Wellness Day Off
- Snacks, drinks, and catered lunches at the office
- Team building events
- Hybrid RTO of 2 days per week in office