W2 Only || Data Engineer || Charlotte ,NC

Charlotte, NC, US • Posted 5 hours ago • Updated 1 hour ago
Contract W2
On-site
Fitment

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Job Details

Skills

  • Capital Market
  • Data Engineering
  • Reference Data
  • Meta-data Management
  • Embedded Systems
  • Data Quality
  • Management
  • Data Governance
  • Workflow
  • Mapping
  • Data Profiling
  • SQL
  • Microsoft Azure
  • ADF
  • Databricks
  • Data Lake
  • Python
  • Collaboration
  • Promotions
  • Continuous Integration
  • Continuous Delivery
  • Version Control
  • Git
  • Documentation
  • Confluence
  • Financial Services
  • Finance
  • Market Analysis

Summary

Location: Charlotte, NC (hybrid)
W2 Only

Experience: 10 years +

Role Description

Client is undergoing a digital transformation to modernize its enterprise data platform across Capital Markets . As part of this initiative, we are 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

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91022079
  • Position Id: 2026-50264
  • Posted 5 hours ago
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