Horizontal Talent · 19 hours ago
Data Quality Engineer
United States
Contract
Remote
Mid Level
4+ years expHorizontal Talent is seeking a Data Quality Engineer for a dynamic and remote role focused on enhancing data reliability across various platforms. The role involves developing monitoring tools, ensuring data integrity, and collaborating with teams to address data quality issues.
Business DevelopmentConsultingStaffing Agency
Hiring Manager
Arun Prakash
Responsibilities
Develop and optimize data quality monitoring tools using advanced platforms
Ensure data integrity by configuring monitoring for freshness, volume, and schema changes
Embed data quality controls into ingestion and transformation processes to uphold standards
Address data quality alerts through thorough investigation and root cause analysis
Collaborate with cross-functional teams to resolve and prevent recurring data quality issues
Enhance AI pipeline performance by supporting data observability efforts
Document solutions and continuously refine monitoring and alert mechanisms
Qualification
Required
Over four years of experience in data engineering or quality-related roles
Strong command of SQL and experience with large-scale datasets
Proficiency in utilizing data observability tools, particularly Monte Carlo
Solid analytical skills for conducting root cause assessments on data disruptions
Excellent communication skills to collaborate effectively with diverse teams
Preferred
Expertise in data quality for AI and advanced analytics environments
Understanding of data lineage, catalogs, and governance systems
Experience in compliance-heavy sectors like finance or healthcare
Familiarity with CI/CD and automated validation patterns for data pipelines
Company
Horizontal Talent
Horizontal Talent provides staffing services for IT, digital marketing, and strategic markets.
201-500 employees
Funding
Current Stage
Growth StageLeadership Team
Jeremy Langevin
Co-Founder and CEO
Company data provided by crunchbase