Data Quality Engineer Jobs (NOW HIRING)

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 Qualifications 5+ years of experience in ETL/ELT development and/or data quality engineering Proven experience implementing data quality controls within data pipelines Strong hands-on experience with: SQL (advanced querying, troubleshooting, optimization) ETL orchestration tools (e.g., Airflow, dbt) Experience with enterprise data quality platforms such as: Collibra Informatica Great Expectations Soda (or similar) Practical experience with data observability concepts (freshness, volume, schema, drift) Preferred Qualifications Experience with cloud data platforms (Azure, AWS, or GCP) Familiarity with modern data stack (Snowflake, Databricks, BigQuery, etc.) Experience building data quality dashboards and monitoring solutions Understanding of data lineage, metadata management, and cataloging tools Exposure to CI/CD practices for data pipelines Key Skills Strong analytical and problem-solving mindset High attention to detail and data integrity Ability to translate business requirements into data quality rules Effective communication with both technical and non-technical stakeholders Ownership mindset with a focus on accountability and continuous improvement Success Metrics Reduction in pipeline failures due to data issues Increased detection of data anomalies before downstream impact Improved data observability and reporting coverage Strong alignment between data quality rules and business/governance needs Faster root cause identification and resolution times Candidate must be able to effectively communicate in English (written & verbal) Candidate must have permanent authorization to work in the USA for any employer The base range for this contract position is $30 - $60 per hour, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations

Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. LRS is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship status or protected veteran status.

In some cases, LRS Consulting uses generative artificial intelligence ("AI") in support of our hiring processes. LRS takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used in the hiring process solely in support of the assessment of candidate qualifications.

All decisions in the hiring process are made by LRS employees. If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. Please contact AI.Questions@lrs.com with any questions.