MathWorks
Data Warehouse Quality Engineer
🇺🇸 Natick, MA
🕑 Full-Time
💰 TBD
💻 Data Science
🗓️ September 24th, 2025
DBT
ETL
Python
Edtech.com's Summary
The company is hiring a Data Warehouse Quality Engineer to support and enhance their data warehousing systems and data marts. This role involves collaborating with data teams to test, validate, and maintain ETL pipelines, data transformations, and overall data accuracy throughout the development lifecycle.
Highlights
- Develop test plans, test cases, and technical scripts based on requirements from project teams and business users
- Participate in Agile/Scrum ceremonies and provide status updates on quality engineering activities
- Test ETL pipelines, DBT transformations, and Snowflake data loads to ensure data integrity
- Write Snowflake SQL queries to validate source-to-target data mappings from various sources including SQL Server, files, and AWS S3
- Analyze and profile data to detect quality issues and assess ETL readiness
- Create and maintain automated data validation and regression testing scripts using Python
- Document and communicate test results, defects, and resolutions to stakeholders
- Requires a bachelor's degree plus 3 years of professional experience or equivalent qualifications
- Must have 3+ years in IT software development focusing on systems analysis, data warehousing, ETL, or quality engineering
- Proficiency with cloud data warehouse technologies such as AWS, DBT, Snowflake, and strong SQL skills with SQL Server and Snowflake
Data Warehouse Quality Engineer Full Description
Data Warehouse Quality Engineer
- Team: Business Applications and Tools
- Location: US-MA-Natick
Job Summary
The Data Warehouse Quality Engineer will support the ongoing development and maintenance of our data warehousing systems and data marts. Through your efforts, you’ll be making valuable contributions to the continuous transformation and improvement of our information systems.
This role works with the rest of the Data Warehouse team to support and test throughout the entire data development lifecycle, including data profiling, ETL and data model design, development, testing and support. We’re looking for someone who has experience testing data warehouse systems and ETL, is team oriented, quality-focused and a great communicator, with the skills necessary to ensure successful growth and support of our data warehousing systems.
Responsibilities
- Collaborate with project teams and business users to gather requirements and develop effective test plans, test cases, and technical scripts
- Participate in Agile/Scrum ceremonies and provide clear QE status updates
- Test ETL pipelines, DBT transformations, and Snowflake data loads to ensure data accuracy and integrity
- Validate source-to-target mappings by writing Snowflake SQL queries to reconcile data from different sources like SQL Server, files, and AWS S3
- Analyze and profile data to identify quality issues and assess ETL readiness
- Develop and maintain automated scripts for data validation and regression testing in Python
- Document test results, defects, and resolutions, and communicate findings to stakeholders
Minimum Qualifications
- A bachelor's degree and 3 years of professional work experience (or a master's degree, or equivalent experience) is required.
Additional Qualifications
- 3+ years of experience in IT software development (such as Systems Analysis, Data Warehousing, ETL, and QE areas)
- Knowledge of data warehousing concepts
- Experience with cloud data warehouse technologies such as AWS, DBT, Snowflake.
- Strong SQL skills for data validation and analysis (experience with SQL Server and Snowflake).
- Familiarity with DBT (Data Build Tool) for data transformation validation.
- Experience working with relational and dimensional data models
- Must be a self-starter comfortable working in a fast-paced, flexible environment, and take the initiative to learn new tools and concepts quickly
