Data Engineer

Overview

Hybrid
$50 - $55
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)

Skills

Data Engineering
Azure
Python
Data Vault 2.0

Job Details

  • Define, document, and manage the enterprise data strategy, including schema design, SLAs, data contracts, security, and compliance.
  • Evangelize best practices across data architecture and data engineering disciplines, particularly in wealth management and financial services domains.
  • Lead and grow a high-impact data engineering team responsible for platform performance, CI/CD, and operational excellence.
  • Own the implementation roadmap for continuous improvements, including Azure/Fabric-based modernization, compliance, and cost optimization.
  • Ensure robust platform reliability through automated test cases for performance, security, and scalability.
  • Partner cross-functionally with analytics, business, and technology teams to align on architecture, governance, and delivery timelines.
  • Manage and optimize ingestion, transformation, and curation of large-scale structured and unstructured datasets.
  • Develop reusable data components and pipelines to support enterprise reporting, BI, and advanced analytics.
  • Champion DataOps, metadata management, monitoring, alerting, and data quality frameworks.
  • Advocate for scalable modeling practices including semantic layer design and preferred Data Vault 2.0 methodology for enterprise architecture.
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