Software Engineer, Data Quality Tools

Summary

Join Stripe's Data Quality Team as a Software Engineer and contribute to building robust data quality solutions that drive smart decision-making and foster innovation.

Requirements

• 2-5 years of professional experience writing high quality production level code
• Finds joy in designing and implementing data-intensive applications
• Has a knack for creative problem-solving, designing, and delivering effective solutions for our users
• Enjoys different facets of product development, from architectural design and planning to conducting user interviews and writing code

Responsibilities

• Deploy comprehensive Data Quality frameworks and tools to maintain the accuracy, completeness, consistency, and timeliness of our Data Assets
• Implement automated data quality checks and monitoring systems to proactively identify and address data issues
• Develop and maintain data quality metrics and dashboards to provide visibility into the health of our data ecosystem
• Collaborate with cross-functional teams to establish and enforce data quality standards and best practices
• Design and implement data cleansing and enrichment processes to enhance the overall quality of our data
• Provide support and guidance to data consumers, ensuring they can confidently rely on high-quality data for their analyses and decision-making

Preferred Qualifications

• Is versed in various software languages and frameworks, such as Ruby, Typescript, Scala, Java, React, GraphQL, Mongo, Airflow, Spark, Kafka, Flink, Iceberg, Splunk, and Grafana
• Experience developing, maintaining and debugging distributed systems
• Able to reason clearly and move with urgency in a fast-paced, ambiguous environment
• Experience with data quality tools (e.g. Deequ, Soda, Great Expectations), with proven ability to implement and optimize these in large-scale environments
• Familiarity with machine learning concepts, especially as applied to data quality