Data Quality Engineer

Posted Yesterday
Be an Early Applicant
2 Locations
In-Office
115K-165K Annually
Mid level
Artificial Intelligence • Information Technology • Software • Consulting
The Role
Design, build, validate, and support reliable data solutions for enterprise operations and analytics. Responsibilities include developing pipelines and transformations, translating business requirements into technical solutions, implementing data quality checks and monitoring, tuning SQL and processing jobs, documenting data definitions and lineage, and supporting security, access controls, reconciliation, and failure recovery. The role collaborates with stakeholders across the delivery lifecycle to ensure accurate, maintainable, and governed data.
Summary Generated by Built In

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is an opportunity to contribute to technology initiatives in a collaborative environment with opportunities for professional growth. 

Job Title: Data Quality Engineer 

Location: Remote 

Position Type: Full-time, Direct W2 - [Not open to C2C or 1099] 

Salary Range: $115,000–$165,000 Annually 

Experience Required: 4+ years  

Sponsorship: U.S. Citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply. Bright Vision Technologies is unable to sponsor new H-1B visa petitions for this position.  

Job Summary 

Bright Vision Technologies is seeking a Data Quality Engineer to design, build, validate, and support data solutions that make trusted information available for enterprise operations, analytics, and decision-making. The work includes data integration, modeling, quality, performance, and governance. The successful candidate will apply practical expertise in SQL, data profiling, validation rules, reconciliation, metadata, data lineage, and quality monitoring, work with cross-functional teams, and contribute to reliable, maintainable solutions through the delivery lifecycle. 

Key Responsibilities 

  • Develop and maintain data pipelines, transformations, reports, models, or platform components as required by the role. 

  • Translate source-to-target and business requirements into validated technical data solutions. 

  • Implement data quality checks, access controls, monitoring, and failure-recovery procedures. 

  • Tune SQL, processing jobs, models, dashboards, or platform resources for performance and cost. 

  • Document data definitions, lineage, operational procedures, and technical decisions. 

Required Qualifications 

  • Experience Required: typically 4+ years in a related professional role; exact threshold must match the approved requisition. 

  • Practical experience with the role-specific technology stack: SQL, data profiling, validation rules, reconciliation, metadata, data lineage, and quality monitoring. 

  • Professional experience in data engineering, analytics, data management, or the platform area relevant to this role. 

  • Strong SQL skills and practical experience with the data technologies identified for the position. 

  • Understanding of data modeling, ETL/ELT, data validation, and integration patterns. 

  • Experience with data quality, security, access controls, and production support. 

  • Ability to translate business requirements into accurate and maintainable data solutions. 

  • Strong analytical, documentation, and stakeholder communication skills. 

Preferred Qualifications 

  • Additional hands-on depth in SQL, data profiling, validation rules, reconciliation, metadata, data lineage, and quality monitoring. 

  • Experience with cloud services, automation, and modern delivery practices relevant to the project. 

  • Familiarity with secure development, accessibility, governance, or regulatory requirements where applicable. 

  • Relevant professional certifications or advanced training in the role’s technology area. 

How to Apply 

Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact Harry at (908) 676-4399. Learn more about Bright Vision Technologies at www.bvteck.com. 
 

Bright Vision Technologies is an Equal Opportunity Employer. 

Skills Required

  • 4+ years of experience in a related professional role
  • Practical experience with SQL, data profiling, validation rules, reconciliation, metadata, data lineage, and quality monitoring
  • Professional experience in data engineering, analytics, data management, or a related platform area
  • Strong SQL skills and practical experience with relevant data technologies
  • Understanding of data modeling, ETL/ELT, data validation, and integration patterns
  • Experience with data quality, security, access controls, and production support
  • Ability to translate business requirements into accurate and maintainable data solutions
  • Strong analytical, documentation, and stakeholder communication skills
  • Additional hands-on depth in SQL, data profiling, validation rules, reconciliation, metadata, data lineage, and quality monitoring
  • Experience with cloud services, automation, and modern delivery practices
  • Familiarity with secure development, accessibility, governance, or regulatory requirements
  • Relevant professional certifications or advanced training in the technology area
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The Company
HQ: Bridgewater, NJ
53 Employees
Year Founded: 2020

What We Do

Bright Vision Technologies is a minority-owned organization founded in July 2020 and based in New Jersey, USA. The company specializes in delivering top-tier staffing and IT consulting services, including custom computer programming and systems design. Additionally, they are a product engineering firm with a flagship AI-powered talent intelligence and enterprise automation platform called Lumina, which helps transform IT into a strategic asset for their valued partners.

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