Data Quality Engineer

Data Quality Engineer

Minneapolis - 100% Remote

Founded in the late 90’s, our client is a privately held company headquartered in Minneapolis, Minnesota. Our client is one of the most experienced testing contractors in the nation, serving 13 states and delivering assessments for multi-state consortia. The company is a leader in transitioning states to online testing via one of the many testing products they offer. Their online platform is a secure, powerful online testing engine that supports and enhances the testing experience for students and educators.

Job Description:

As part of their ongoing growth, our client is seeking an experienced Data Engineer specializing in quality within the Data Quality and Delivery division. This role involves collaborating with various internal teams, stakeholders, and clients to ensure the smooth operation and high reliability of the company's data pipelines. Responsibilities include implementing and validating data changes using change management strategies, as well as delivering top-tier BI data reports and analytics.

This position is ideal for someone who is adept at working with SQL and enjoys managing BI reporting solutions. You'll combine hands-on data engineering and test engineering to help ensure the integrity of the company's data delivery processes, supporting both business and mission-critical reporting.

• Configure and implement data and metadata changes across production pipelines.
• Develop test strategies, plans, and data sets to validate transformations and integrations.
• Conduct comparative analyses to ensure data consistency and accuracy.
• Perform both automated and manual data reconciliation to guarantee completeness in BI reporting.
• Address ETL and data quality issues, resolving performance or scalability challenges.
• Document validation outcomes, defects, and test coverage in line with compliance requirements.
• Contribute to requirement analysis, gap identification, and deployment planning for data quality initiatives.
• Leverage data engineering experience to enhance quality management and validation processes.

Position Requirements:

• 3+ years of relevant experience.
• Strong communication skills, able to translate technical details to non-technical stakeholders.
• Expertise in relational databases, SQL, and coding for various database environments (e.g., MS SQL Server, PostgreSQL, Redshift, DynamoDB, Snowflake).
• Experience in creating automated processes for data transformation and validation.
• Familiarity with Shell scripting (Unix Bash, PowerShell, etc.).
• Proficient in reading business requirements and developing detailed documentation.
• Skilled in business process and data flow diagram creation (using tools like MS Visio, LucidCharts).
• Familiar with productivity tools (Microsoft Office, Atlassian, Google suite).

Preferred Requirements:

• Experience with web scripting (HTML, CSS, JavaScript) and programming languages (Python, Java, C#/.NET).
• Understanding of Web Services and REST/GraphQL.
• Experience with BI reporting platforms like Power BI, Tableau, ThoughtSpot, or Domo.
• Exposure to cloud technologies such as AWS, Azure, or Google Cloud.
• Knowledge of Agile methodologies (Kanban, Scrum).
• Familiarity with test-driven development and CI/CD pipelines.
• Experience with open-source tools like JIRA, Jenkins, or GitHub.
• Scripting experience for API testing (e.g., Postman).
• A Bachelor’s or higher degree in a relevant field such as Information Systems, Computer Science, or Engineering.

Reasons to Apply:

• Competitive salary plus a comprehensive benefits package.
• Health coverage, retirement plans, and other company-sponsored perks.
• Generous paid time off, including holidays, to support work-life balance.
• Flexible schedules and work life balance.
• Strong focus on employee development with on-the-job training and career growth.
• A positive company culture that values diversity and collaboration.

Compensation$80,000-$100,000