QA Engineer, Data Validation

Job Description

What You’ll Do:

Develop automated tests for Web and Data Applications;
Extend and maintain existing test frameworks;
Plan, document, review, and execute testing using the most appropriate methodology and tools;
Collaborate with project team members on requirements specifications for test plan creation and execution;
Support an agile data pipeline development environment with frequent deployments to production;
Work closely with architects, developers, and product managers to define testing strategies; and
Advocate for necessary changes to improve end-user experience.
Requirements
What You Should Have:

3+ years of QA experience with a knowledge of testing methodologies, industry tools, and best practices;
Experience working with automation testing tools;
Experience working with Test Management platforms such as TestRail;
Experience with AWS cloud services (S3, Lambda, etc.);
Experience with Linux command line tools;
Experience using Git repository management solutions (Bitbucket, GitHub, etc.);
Experience with QA processes and deliverables in an Agile/Scrum environment;
Proficient in defect tracking and analyzing root cause utilizing tools (Jira, etc.);
Outstanding communication, organizational and interpersonal skills; and
Excellent problem solving, critical thinking, and debugging skills.
What You Could Have:

Experience with data testing;
Experience working with both SQL and NoSQL (MongoDB) databases;
Experience with Python or other scripting language;
Experience with Pandas for Python (https://pandas.pydata.org/);
Experience with Docker; and
Experience working with deployment pipelines;
Talented QA Engineers, Data Validation come from all walks of life and careers. If you are passionate about civic engagement and technology, please apply, even if you do not check every box!