Data Quality Engineer

Levi, Ray & Shoup, Inc.
United States
20 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$62,400.0 - $124,800.0
Working hours
Regular working hours
Languages
English

Tech stack

Agile Methodology Artificial Intelligence Data Analysis Microsoft Azure Profiling Data Validation Data Cleansing Data Governance Data Warehousing Database Queries Microsoft SQL Server Power BI
+10 more
Standard Sql YAML Scripting Data Classification Great Expectations (Foster Youth College-readiness and Support Program) Snowflake Generative AI Git Collibra Data Management

Job description

  • All legitimate correspondence from our recruiting team will only come from an email address ending in @lrs.com. We do not use generic domains like @gmail.com, @yahoo.com, or @outlook.com.
  • We never conduct interviews solely via text-based chat on Microsoft Teams, Telegram, or WhatsApp. All virtual interviews involve a scheduled video or phone call with a member of our team.
  • LRS will never ask a candidate for payment, fees, or to purchase equipment (e.g., laptops, software) as a condition of employment.
  • All genuine job opportunities are listed directly on our official careers portal at Careers., We are seeking a Data Quality Analyst to support our Enterprise Data Warehouse (EDW) through a combination of:
  • Data Quality: Profiling data, building quality rules, analyzing issues, and driving resolution.
  • Data Governance: Supporting governance and catalog initiatives, partnering with data owners and stewards, and managing critical data elements.
  • Business Analysis: Facilitating stakeholder discussions, gathering requirements, documenting business rules, and translating business needs into measurable data quality outcomes.

This is a highly collaborative role that requires equal parts technical expertise and stakeholder engagement., * Serve as the data quality representative within EDW Agile teams and Azure DevOps.

  • Partner with data owners, stewards, and engineers to define Critical Data Elements (CDEs) and quality requirements.
  • Profile source and warehouse data for completeness, validity, uniqueness, freshness, drift, and volume anomalies.
  • Develop, maintain, and monitor data quality rules, thresholds, scorecards, and exception management processes.
  • Perform source-to-target reconciliation, data validation, and UAT support.
  • Investigate data issues, conduct root cause analysis, and coordinate resolution across business and technical teams.
  • Support implementation and administration of data governance and catalog platforms.
  • Maintain business glossaries, metadata, lineage, ownership, and stewardship documentation.
  • Facilitate workshops and working sessions with business stakeholders.
  • Translate business definitions into measurable data quality rules.
  • Deliver training and ongoing support for data quality and governance tools.
  • Develop governance, quality, and process documentation., + Ataccama
  • Precisely
  • Soda
  • Great Expectations
  • Monte Carlo
  • Similar tools
  • Experience with source-to-target validation and data reconciliation.
  • Working knowledge of data governance/catalog platforms such as:
  • Collibra
  • Alation
  • Atlan
  • Microsoft Purview
  • OvalEdge
  • Informatica
  • Zeenea
  • Experience working directly with business stakeholders to gather requirements and facilitate workshops.
  • Strong written and verbal communication skills.

Requirements

We are looking for a candidate who has worked hands-on with data quality tools in a real-world data warehouse environment, possesses strong SQL and analytical skills, and enjoys working directly with business users. Success in this role requires curiosity, persistence, strong communication skills, and the ability to drive issues from identification through resolution., * 3+ years of hands-on experience in Data Quality, Data Governance, or Data Warehouse Analytics.

  • Strong SQL skills including data validation, reconciliation, root cause analysis, and complex querying.
  • Experience with enterprise data warehouse environments.
  • Experience using data quality platforms such as:
  • Collibra Data Quality (OwlDQ), * Insurance or financial services experience.
  • Experience with policy, customer, claims, billing, quote, enrollment, or related insurance data.
  • Experience with Snowflake, SQL Server, and modern cloud data platforms.
  • Familiarity with dbt, Bronze/Silver/Gold architectures, Power BI, Azure DevOps, Git, and YAML.
  • Experience implementing data governance or catalog solutions.
  • Python scripting and automation experience.
  • Experience with data classification, masking, and privacy compliance requirements.

Additional Requirements

Candidate must be able to effectively communicate in English (written and 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.

About the company

Looking for more than just another assignment? We’re looking for you!

LRS Consulting Services is seeking an experienced Data Quality Analyst for our client in Central Illinois. This is a 12-24 month contract-to-hire opportunity for the right person. Local candidates will be given preference.

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