Data QA Engineer - Remote

Overview

The Data QA Engineer will be responsible for creating and managing data solutions and visualizations to identify issues with data quality, collaborating with the Data Quality team to implement necessary data sets and regulations.

In Short

• Work with the Data Quality team to manage data solutions.
• Use dbt to build critical datasets.
• Create data visualizations for data quality exceptions.
• Support CollibraDQ by building data quality rules.
• Collaborate with analysts to investigate data issues.
• Orchestrate data solutions using Airflow.
• Engage in root cause analysis of data problems.
• Utilize SQL and data transformation skills.
• Participate in quality assurance projects.
• Contribute to a fast-growing insurance company.

Requirements

• Experience in data engineering.
• Familiarity with relational databases.
• Experience with reporting tools, ideally PowerBI.
• Strong SQL skills.
• Understanding of database management systems.
• Interest in quality assurance tasks.
• BS in Computer Science or related field.
• Experience with Snowflake and SQL is a must.
• Nice to have: dbt, Airflow, Collibra DQ, Python.

Benefits

• Opportunity to work in a fast-growing company.
• Collaborative team environment.
• Focus on employee growth and development.
• Engagement in strategic leadership initiatives.