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Added Jun 01, 2026 Data Quality Engineer (46157) Remote, Remote | Temp to Perm Apply (https://evoportalus.tracker-rms.com/LRS/apply?jobcode=46157&shownonlrs=True)
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Job Description
Time to get to work! LRS Consulting Services is seeking an experienced Data Quality Engineer for our client in Central Illinois. This is a 12-24 month contract to hire opportunity for the right person. If you're that person, if you have the expertise that we need, submit your resume now! Local candidates will be given preference.
LRS Consulting Services has been delivering IT excellence for over four decades. Our reputation for quality, flexibility, and strong relationships with our clients keeps them turning to us to meet their IT consulting needs. Our contacts, combined with your technical expertise, equals career possibilities for you. So let's get to work!
Position Overview
We are seeking a Data Quality Engineer with strong ETL development experience to design, implement, and enforce data quality controls across our data ecosystem. This role blends hands-on pipeline development with advanced data quality practices, ensuring data is reliable, observable, and aligned with governance standards.
You will play a critical role in embedding data quality into end-to-end workflows, supporting trusted analytics and decision-making.
Key Responsibilities
Data Quality Engineering
+ Design and implement data quality controls within data pipelines, including:
+ Validation rules (accuracy, completeness, consistency)
+ Anomaly detection mechanisms
+ Enforcement patterns such as gating, alerting, and failure handling
+ Define and maintain data quality SLAs and thresholds
ETL/ELT Development & Orchestration
+ Develop and maintain scalable ETL/ELT pipelines using tools such as dbt, Airflow, or similar
+ Integrate data quality checks directly into pipeline workflows to ensure issues are detected early
+ Build reusable frameworks and components for automated data validation
Data Observability & Monitoring
+ Implement and manage data observability practices, including:
+ Freshness monitoring
+ Volume checks
+ Schema validation
+ Data drift detection
+ Surface insights via dashboards and alerting systems to proactively identify issues
+ Partner with engineering teams to improve pipeline reliability and transparency
Data Quality Tools & Platforms
+ Leverage enterprise tools such as Collibra, Informatica, Great Expectations, Soda, or similar to:
+ Define and manage quality rules
+ Monitor data health
+ Track issue resolution workflows
+ Contribute to tool selection, configuration, and optimization
Root Cause Analysis & Issue Resolution
+ Use strong SQL and analytical skills to investigate and resolve data issues
+ Perform root cause analysis across upstream/downstream systems
+ Document findings and implement preventive controls
Data Governance Alignment
+ Align data quality practices with data governance frameworks, policies, and standards
+ Collaborate with data stewards and business owners to define ownership and accountability
+ Ensure data quality rules reflect business definitions and regulatory requirements
Required Qua