eNGINE builds Technical Teams. We are a Solutions and Placement firm shaped by decades of interaction with Technical professionals. Our inspiration is continuous learning and engagement with the markets we serve, the talent we represent, and the teams we build. Our Consulting Workforce is encouraged to enjoy career fulfillment in the form of challenging projects, schedule flexibility, and paid training/certifications. Successful outcomes start and finish with eNGINE.

Role Overview

eNGINE is seeking a Data Quality Assurance Engineer to support and evolve a growing data ecosystem where quality, accuracy, and trust in data are critical. This role will play a key part in transitioning a largely manual data validation process into a more automated, scalable framework. The ideal candidate is highly proficient in SQL, comfortable working across data pipelines, and eager to influence how data testing tools, frameworks, and standards are designed and implemented.

This position offers the opportunity to be hands-on while also shaping future-state data quality practices across the organization.

Key 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

Required Qualifications

• 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 Experience

• 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

About eNGINE

eNGINE is a Technical Solutions firm shaped by decades of interaction with Technical professionals. Our inspiration is continuous learning and engagement with the markets we serve, the talent we represent, and the teams we build. Successful outcomes start and finish with eNGINE.

Connections working at eNGINE