Data Quality Engineer

At MNTN, we’ve built a culture based on quality, trust, ambition, and accountability – but most importantly, we really enjoy working here. We pride ourselves on our self-service platform and are constantly seeking to improve the user experience for our customers and scale for efficiency. Our startup spirit powers our growth mindset and supports our teammates as they build the future of ConnectedTV. We’re looking for people who naturally want to do more, own more, and make an impact in their careers – and we’re seeking someone to be part of our next stage of growth.

MNTN technology pushes the limits of application development, taking advantage of the latest open-source software with a strong emphasis on building flexible technology to put the control in our users' hands. Our microservices handle hundreds of millions of requests per day, upon which a platform for real-time behavioral marketing is built to drive performance in cross-device advertising. We heavily utilize open-source technology and in-house solutions to meet the low latency demands of rapid response advertising.

As a Data Quality Assurance Engineer, you will be responsible for driving the end to end data test life cycle for a complex & hardest software in advertising technology & performance marketing. You will be responsive, flexible and able to succeed within an open collaborative peer environment.

You will need to be able to work efficiently and effectively in a fun, fast-paced dynamic team environment. You are expected to have industry-leading technical abilities that enable you to significantly improve data integrity & data quality. You should have a combination of solid in-depth knowledge of Quality Assurance, solid understanding of the ETL & data pipeline architecture & web technologies, as well as knowledge of object oriented design principles. The test software you will build should expose data integrity & anomalies defects in production level code as well as defects at the component and feature integration prospective. You should command the skill to communicate clearly and effectively. You must have experience in diagnosing project release problems and taking corrective action, such as escalating as needed, resolve and achieve results. Candidates will need to define test plans, test specifications, test suites, test cases as well as design tools for unit, functional and performance testing in a programmatic manner. Our QAEs are also responsible for driving our software development process toward quality-centric methodologies and for reporting on test progress, metrics, issues and risks.

You will:

• Use SQL queries and analyze log files to test various ETL and data pipelines;
• Perform data validity, accuracy and integrity test across different components of the Data Platform;
• Build automated test framework and tools to automate the Data Platform services and applications;
• Automate regression test and perform functional, integration and load testing;
• Articulate issues to developers during meetings and particularly in the daily standups;
• Triage production level issues by analyzing the production logs and work with the development team until the issues are resolved;
• Proactively solve problems and suggest process improvements;
• Provide test case coverage and defect metrics to substantiate release decisions;
• Work with the product managers and the team leads to understand the requirements and come up with the relevant test cases and execute them.
• As a QA Engineer on our team, you will work side by side with Software Development Engineers and Product Managers to develop features and evaluate technical implementation
• Collaborate cross-functionally to drive release activities, execute regressions, analyze failure for timely sign offs with high quality. 

You have:

• Master’s or Bachelor’s degree in computer science or equivalent practical experience.
• 4+ years of experience in developing, executing & maintaining test automation.
• 5+ years of experience in developing test plans, test cases, executing manual testing, and continually improving coverage to insist on high standards.
• Strong skills in SQL, Postgres, ETLs, & data pipeline architecture.
• Hands on expertise in data engineering & data quality testing.
• Advocate for the customer in reviewing requirements, designs and discussing with development peers and QA leadership.
• Expertise with developing test methodologies, diving into domain & engineering stack to identify potential bottlenecks, performance degradations and race conditions.
• 4+ years of experience working in a fast paced and complex, matrixed organization.
• 4+ years of experience working with cross-functional stakeholders, developers, QA