Data Quality Engineer 100% Remote Summary: The Data Quality Engineer will take the lead to ensure the quality and security of data stored in our company systems (PowerBI and Snowflake) is accurate, while also helping us to determine and support the future vision of BI. This role will help us drive adoption of our modern BI platform. The Data Quality Engineer will contribute to the design of information infrastructure and data management process to move the organization to a more sophisticated, agile, and robust target state data architecture.

What you'll be doing Assisting in root cause analysis, investigating data errors or anomalies, and assisting with the implementation of solutions to rectify Management of presentation for data quality outputs scoring and data profiling results (I.e. building Power BI dashboards for data quality checks internally) Architect solutions to improve data quality Develop and maintain tools, templates, and methodologies to support the execution and implementation of Lpolicies and standards (e.g. work with data teams to ensure personally identifying information isn't included in data sets, etc.) Map new data elements in various applications Perform audits on key data elements to ensure data integrity Monitor inbound data for new data elements to map Assist in identifying, automating, and maintaining data quality processes and standards Assist with maintenance of data mapping documentation Conduct test plans for validation of data mapping Help us to make better decisions, empower our people, and solve problems Skills we're seeking 3+ years of experience with Data Quality Engineering Advanced proficiency with SQL and Python Experience working with Power BI or other BI tools Nice to have experience Experience building data pipelines or with ETL Development Bachelor's degree in a quantitative field, e.g. Computer Science, Math, Physics

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