Senior Software Data Quality Engineer

Location: fully remote (EST working hours)

Experience:

• Cultural fit is important to this role- the team works in an agile environment.
• 2years + of prior automation experience
• Solid mid-level candidates are ok

Senior Software Data Quality Engineer- develop and execute test strategies to ensure the quality of data pipelines and integrations, machine learning and rules-based classification and applications in support of high impact clinical insights initiatives. This team consists of talented software and data engineers, collaborating with data scientists, driving innovation in veterinary care. This is an exciting role that will interact with IDEXX s core clinical data assets. Looking for candidates who enjoy complex software and data quality challenges.

Top 3 Skills Sets:

• Automation testing
• Programming languages (Python)
• Relational databases, Structured Query Language (SQL)

In this Role:

Candidate will be a vital member of a highly effective Agile team delivering industry leading capabilities, participating in business planning and technical strategy.

Test the full suite of platform capabilities using a range of testing approaches from automation to exploratory.

Our team practices Scrum development.

Collaborate with a close-knit team of other Software/Data Quality Engineers, Developers, DevOps, Product Owners, and Scrum Masters in a variety of remote locations - excellent communication, collaboration and interpersonal skills are important for team success.

Constantly learn and expand your skills and knowledge on a cutting-edge set of technologies.

What you need to succeed:

Proficiency with designing and executing test plans to comprehensively and efficiently assure conformance to business and technical specifications

Proficiency with creating and maintaining test data and environment required for the execution of test plans

Proficiency with documenting and communicating test results and metrics in a timely and effective manner

Proficiency at assessing and clearly communicating risk

Proficiency at continually improving consistency, predictability and efficiency of data quality related efforts

Proficiency with automation testing

Demonstrated drive to support continuous improvement in testing practices

Experience working through technical challenges and solving complex issues

Experience with programming languages (Python)

Experience with Github and experience with Github Actions

Experience with relational databases, Structured Query Language (SQL)

Experience with one or more major cloud providers (e.g. AWS)

Experience with data quality, system, user interface and integration testing

Experience with tools like JIRA, Confluence, Slack, MS Teams

Exposure to Data Warehouse, Data Lake concepts and designs

Exposure to Data and Data Science Platforms (e.g., Databricks, Snowflake)

Ability to rapidly learn and adapt