Sr Data Quality Engineer - Sdet

Tatari

Los Angeles, United States
Base: $140,000-170,000/annually; equity: equity co...
On-site
Build and maintain data validation frameworks
Develop automated data quality checks
Own pytest infrastructure improvements
Tatari is looking for a Sr. Data Quality Engineer to build and maintain data validation frameworks, develop safeguards for critical measurement pipelines, and own testing strategy across their data infrastructure

Job Summary

  • Tatari is looking for a Sr. Data Quality Engineer to build and maintain data validation frameworks, develop safeguards for critical measurement pipelines, and own testing strategy across their data infrastructure.
  • Responsibilities include building and maintaining data validation frameworks, developing automated data quality checks, owning pytest infrastructure improvements, and partnering with cross-functional teams to debug data issues.
  • Benefits include total compensation ($140,000-170,000/annually), equity compensation, health insurance, 401K, FSA, commuter benefits, a monthly spending account, and unlimited PTO.

Matching Summary

Tatari is looking for a Sr. Data Quality Engineer to build and maintain data validation frameworks, develop safeguards for critical measurement pipelines, and own testing strategy across their data infrastructure.

Salary

Base: $140,000-170,000/annually; Equity: Equity compensation; Benefits: 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

Skills & Requirements

Must-have

  • Build and maintain data validation frameworks
  • Develop automated data quality checks
  • Own pytest infrastructure improvements
  • Python and SQL proficiency
  • Data pipeline orchestration tools

Nice-to-have

  • Data quality and lineage tooling
  • Culture of testing excellence
  • Communication with technical and non-technical stakeholders

Key Requirements

  • 5+ years in data quality engineering, data engineering, or backend engineering
  • BS/MS in Computer Science, Engineering, or related field, or equivalent practical experience
  • Experience with data quality frameworks such as Great Expectations is a strong plus

Work Rights

Not specified

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