eNGINE · 1 day ago
Data Quality Engineer
Pittsburgh Region
Full-time
Hybrid
Mid Level
$90K/yr - $130K/yreNGINE is a Solutions and Placement firm focused on building Technical Teams. They are seeking a Data Quality Assurance Engineer to support and evolve a growing data ecosystem, transitioning manual data validation processes into automated frameworks.
Bookkeeping and PayrollEmploymentHuman ResourcesStaffing Agency
No H1B
Responsibilities
Partner with business and technical stakeholders to translate data requirements into actionable validation strategies
Define and document data quality expectations, validation scenarios, and testing artifacts
Analyze data movement across systems by building lineage, mapping source-to-target flows, and identifying transformation logic
Implement and enhance automated data testing solutions to reduce reliance on manual validation
Perform detailed assessments of datasets supporting analytics, reporting, and dashboards
Identify data anomalies, inconsistencies, and integrity issues across ingestion, transformation, and consumption layers
Track, communicate, and help resolve data defects in coordination with engineering and analytics teams
Establish repeatable data quality checks focused on accuracy, completeness, and transformation logic
Support validation of ETL outputs and analytical deliverables across multiple environments
Qualification
Required
Bachelor's degree in Computer Science, Information Systems, or a related technical discipline
Hands-on experience with SQL in support of data analysis, validation, and testing
Background in data quality assurance, data validation, or data-focused testing methodologies
Experience working within hybrid data environments spanning cloud and on-prem platforms
Familiarity with data profiling, source-to-target analysis, and validation of transformed datasets
Exposure to modern data platforms and orchestration tools within Azure-based ecosystems
Strong understanding of data pipelines, ETL processes, and warehouse concepts
Ability to evaluate data-driven outputs such as reports, dashboards, and extracts with a critical eye
Preferred
Prior involvement in building or implementing automated data testing frameworks
Experience with Python-based data validation tools or libraries (including PySpark or PyTest)
Familiarity with Databricks, Azure Data Factory, ADLS Gen2, or similar platforms
Background supporting analytics or BI tools such as Power BI or Tableau
Industry exposure to Pharma, Healthcare, or other highly regulated data environments
Awareness of AI or machine learning workflows and their data quality considerations
Strong communication skills with the ability to explain data issues to both technical and non-technical audiences
Benefits
Schedule flexibility
Paid training/certifications
Company
eNGINE
eNGINE provides contract staffing, contract to hire, direct hire, quality check, and payroll services.
Founded in 2017
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Kristen Weiss
Senior Project Manager, in Partnership with PANTHERx
Company data provided by crunchbase