Senior Quality Engineer
Core
Senior Quality Engineer ensuring data accuracy, completeness, and reliability across distributed systems, data pipelines, and analytics workflows.
Role type
Senior IC Quality Engineer (Data & Analytics)
Builds
Data-enabled products, analytics workflows, and reporting experiences for students and administrators.
Domain
EdTech / Student Housing Management / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, JavaScript/TypeScript, Java, Bash, distributed systems architecture, data modeling, schema design, root cause analysis, performance testing, CI/CD integration, data reconciliation, automated testing frameworks
Preferred skills
Experience with Snowflake, BigQuery, Databricks, Spark, Airflow, Kafka, Great Expectations, Soda, Monte Carlo, Tableau, Power BI
Technologies
Snowflake, BigQuery, Redshift, Databricks, Spark, Airflow, Kafka, Tableau, Power BI, Great Expectations, Soda, Monte Carlo, GitHub Actions, GitLab CI, Azure DevOps, Jenkins, CircleCI, Buildkite
Responsibilities
Own end-to-end testing strategy for complex distributed systems and data pipelines; Define and champion data quality standards for accuracy, completeness, consistency, and lineage; Design validation strategies for source-to-target data flows including ingestion and transformations; Partner with cross-functional teams to ensure metrics definitions and acceptance criteria reflect business meaning; Build automated checks and test frameworks for database, API, and pipeline validation; Design integration and performance testing for batch, streaming, and event-driven workflows; Champion shift-left quality culture by mentoring developers on testing principles and data contracts; Maintain data-driven quality management by implementing KPIs for data health and pipeline reliability.
Seniority
Senior, hands-on IC
