Job Description
Job Title: Data Engineer
Hybrid: 2 or 3 days Onsite/week
Job Experience Level: 10 Years
Role Description
Seeking an experienced Data Governance / Data Quality Engineer to support the design and implementation of data governance, data quality, and lineage solutions using Collibra and Azure-based platforms.
This role will work closely with Data Strategy, Business, and Data Engineering teams to ensure high-quality, governed, and trusted data across key domains such as Reference data, Market data and Operational data.
Role Objectives
Key Responsibilities
Hybrid: 2 or 3 days Onsite/week
Job Experience Level: 10 Years
Role Description
Seeking an experienced Data Governance / Data Quality Engineer to support the design and implementation of data governance, data quality, and lineage solutions using Collibra and Azure-based platforms.
This role will work closely with Data Strategy, Business, and Data Engineering teams to ensure high-quality, governed, and trusted data across key domains such as Reference data, Market data and Operational data.
Role Objectives
- Support enterprise data governance and data quality initiatives across critical data domains
- Implement and enhance Collibra-based governance and DQ capabilities
- Ensure data quality, lineage, and metadata management are embedded into the data platform
- Collaborate with cross-functional teams to deliver scalable, governed data solutions.
Key Responsibilities
- Develop and maintain data quality rules using Collibra DQ
- Implement and manage data governance assets (business glossary, data catalog, stewardship workflows)
- Support data lineage mapping across systems and pipelines
- Perform data profiling, validation, and issue analysis using SQL
- Integrate Collibra with Azure data platform (ADF, Databricks, Data Lake)
- Develop automation and utilities using Python or similar languages
- Collaborate with Data Owners and Engineers to define and enforce DQ controls
- Ensure code promotion using CI/CD, version control (Git), and deployment best practices
- Maintain documentation and governance artifacts in tools like Confluence and repositories
- Experience in financial services industry, financial instruments, asset classes and market data are a plus.
Numbers & Facts
| Location | Charlotte, NC |
| Industry | Other/Not Classified |
| Salary | $65–$68 Per Hour |
| Company Size | 100 to 499 employees |
| Year Founded | 1998 |
| Website | www.eteaminc.com |
About Company
Looking for a great job? Join eTeam. We’re looking for talented staffing professionals to join our staff. We also provide contract assignments and full-time jobs at Fortune 2000 Companies. We’ve been named one of the best companies to work for by Staffing Industry Analysts and New Jersey Business.
Skills
- Asset Managementunmatched
- Automationunmatched
- Cross-Functionalunmatched
- Data Lakeunmatched
- Data Managementunmatched
- Data Mappingunmatched
- Data Profilingunmatched
- Data Qualityunmatched
- Documentationunmatched
- Embedded Systemsunmatched
- Financeunmatched
- Financial Servicesunmatched
- Metadataunmatched
- Microsoft Windows Azureunmatched
- Problem Solving Skillsunmatched
- Python Programming/Scripting Languageunmatched
- Quality Assuranceunmatched
- Quality Engineeringunmatched
- Quality Managementunmatched
- SQL (Structured Query Language)unmatched
- Stewardshipunmatched
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