Data Quality Engineer - (SQL, Snowflake, ADF, Process Analysis)

Codetech • Minneapolis, MN

1d • Remote

About The Position

This role combines data engineering with quality engineering and business process analysis. The Senior Data Engineer will support ETL business processes, validate data pipelines, and identify opportunities to improve data-related workflows. The position is remote, with work hours of 9 a.m. to 5 p.m. EST.

Requirements

• Advanced SQL skills, including complex queries and performance tuning.
• Hands-on experience with Snowflake, Databricks, and Azure Data Factory (ADF).
• Strong understanding of data governance and quality assurance practices.
• Experience with business process analysis and documentation.

Nice To Haves

• Healthcare domain experience.
• Familiarity with cloud-native architectures and agile methodologies.
• Knowledge of Python and data visualization tools such as Power BI or Tableau.
• Relevant certifications, such as Microsoft DP-203 or Azure Databricks certifications.

Responsibilities

• Perform data validation and regression testing for ETL processes.
• Develop automated quality assurance frameworks for data pipelines.
• Ensure adherence to data quality standards and regulatory compliance.
• Analyze existing business processes and identify improvement opportunities.
• Document workflows and create standard operating procedures for data-related operations.
• Partner with stakeholders to implement process automation and efficiency enhancements.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed