Senior Data Quality Engineer

Mitchell Martin Inc.; Chicago (IL); On-site; USD 81,000 - 116,000; Part time

Job summary

Mitchell Martin Inc. is seeking a Senior Data Quality Engineer for a contract role based in Chicago, onsite. You will design and implement enterprise-wide data quality frameworks and integrate robust data quality controls into data pipelines to ensure data integrity.

The role requires strong experience with data processing technologies, data profiling, and cloud data environments, plus collaboration with cross-functional teams to advance data governance and continuous improvement.

Qualifications

• 5 years of experience in data engineering or related roles.
• Strong experience with data processing technologies and frameworks.
• Proven experience in data quality frameworks and controls.
• Advanced skills in data profiling and validation.
• Experience with large-scale datasets in cloud environments.

Responsibilities

• Design and implement enterprise-wide data quality frameworks.
• Develop and integrate data quality controls into data pipelines.
• Monitor data pipelines and proactively identify issues.
• Collaborate with teams to enforce data governance standards.
• Automate testing frameworks for validating data transformations.

Job description

Description

Join a dynamic team in a contract role focused on enhancing data quality frameworks. Based in Chicago, IL, the position requires onsite presence. Responsible for implementing data quality controls and frameworks. Utilize advanced data processing technologies to ensure data integrity. Collaborate with cross-functional teams to embed quality principles. Lead initiatives for continuous improvement in data quality processes.

Title

Senior Data Quality Engineer

Location

Chicago, IL

Employment Type

Contract

Compensation

Pay Range:$58.80-$84.00 Per Hr

Key Responsibilities

• Design and implement enterprise-wide data quality frameworks.
• Develop and integrate data quality controls into data pipelines.
• Monitor data pipelines and proactively identify issues.
• Collaborate with teams to enforce data governance standards.
• Automate testing frameworks for validating data transformations.

Qualifications

• 5 years of experience in data engineering or related roles.
• Strong experience with data processing technologies and frameworks.
• Proven experience in data quality frameworks and controls.
• Advanced skills in data profiling and validation.
• Experience with large-scale datasets in cloud environments.

Core Technologies

• Data Processing Technologies
• Data Quality Frameworks
• Data Monitoring Tools
• Cloud Platforms
• Data Integration Tools