Senior Data Quality Developer

Senior Data Quality Developer

This job is no longer open
Upgrade is a fintech unicorn founded in 2017. We are the fastest-growing company in the Americas (Financial Times). Our innovative Upgrade Card is the fastest-growing credit card in America (Nilson Report). Upgrade has been named a “Best Place to Work in the Bay Area” and received “Best Engineering Team", "Best Company for Women” and “Best Company for Diversity” awards from Comparably. Come join us if you like to tackle big problems and make a meaningful difference in people's lives.

As a Data QA Engineer, you’ll work alongside our Data Engineering & Analytics teams with a keen eye for detecting anomalies, setting up our automation framework, as well as implement solutions to help us scale effectively. You’ll work alongside our BI and Data Engineers in production, profiling our data for any quality errors and guide our operational focus. Using open-source tooling is highly encouraged.

This is a remote position based in the Canada. At this time we are unable to consider international applicants for this role.

What You'll Do:

    • Build and automate testing frameworks around data ingestion pipelines.
    • Write complex SQL queries on tables with hundreds of millions of records and ensure data integrity is maintained throughout the ETL lifecycle.
    • Execute functional/performance tests by spinning up disposable environments on demand to deploy microservices with different versions and configurations, and customize database content.
    • Develop test automation at the pace of feature development utilizing our functional and performance test frameworks.
    • Customize, configure, patch services, and deploy infrastructure and code changes all the way through to production.
    • Analyze log files and troubleshoot production issues by automating and reproducing them in a non-production environment.
    • Plan, create, and implement strategies/solutions for feature validations and test automation.
    • Experience working with datasets in Python, and building data pipelines with task orchestrators such as Airflow, Kafka

What We Look For:

    • Excellent SQL skills and ability to write complex SQL queries.
    • Ability to develop test automation in Python or Java using Selenium.
    • Experience in deploying services in various environments such as Kubernetes, using deployment tools like ArgoCD and Jenkins.
    • Capability to improve efficiency of existing test infrastructure using Docker, Selenium and headless browser executions.
    • Familiarity with log aggregators such as SumoLogic, Kibana, or Splunk, and app monitoring tools such as Honeycomb, or Grafana.
    • Passion for automating tests and delivering high quality features in a fast paced environment.
    • Comfortable working in Agile methodology.
    • Strong experience with Airflow, Python, Snowflake, Kafka, Git, Jenkins, ArgoCD, SQL, SumoLogic, Docker, and Kubernetes.

Strong Plus:

    • Experience with Apache Spark, Apache Superset, and Great Expectations

What We Offer You:

    • Competitive salary and stock option plan. 
    • 100% paid coverage of medical, dental and vision insurance. 
    • Unlimited vacation. 
    • Learning stipend for personal growth and development. 
    • Paid parental leave.  
    • Health & wellness initiatives.


Interested in joining Upgrade but don't think this role is for you? Check out our careers page!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
This job is no longer open
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