Lead Data Engineer

Transamerica Corporation

Philadelphia, PA, US
Base: $107,000 - $135,000 annually; bonus/equity: ...
On-site
Cloud and on-premises data infrastructure
Data pipeline frameworks
Batch and real-time streaming data
The Lead Data Engineer is responsible for the design, architecture and support of systems, services and applications required for the collection, storage, processing, and analysis of all forms of data to enable data-driven decisions and outcomes across the enterprise

Job Summary

  • The Lead Data Engineer is responsible for the design, architecture and support of systems, services and applications required for the collection, storage, processing, and analysis of all forms of data to enable data-driven decisions and outcomes across the enterprise.
  • Architect, build, and support the operation of Cloud and On-Premises enterprise data infrastructure and tools.
  • For eligible employees, we offer a comprehensive benefits package designed to support both the personal and financial well-being of our employees.

Matching Summary

The Lead Data Engineer is responsible for the design, architecture and support of systems, services and applications required for the collection, storage, processing, and analysis of all forms of data to enable data-driven decisions and outcomes across the enterprise.

Salary

Base: $107,000 - $135,000 annually; Bonus/Equity: Eligible for Annual Bonus; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • Cloud and On-Premises data infrastructure
  • Data pipeline frameworks
  • Batch and real-time streaming data
  • Data APIs and delivery services
  • Master data, reference data, metadata

Nice-to-have

  • Agile environment collaboration
  • Creative thinker with analytical skills
  • Results oriented with customer focus
  • Keep pace with technology advances

Key Requirements

  • Bachelor’s degree in computer science, math, engineering, or relevant technical field
  • Five years of collective experience in data engineering, data analytics, data warehousing, business intelligence, database administration and data integration
  • Four years of experience architecting, building, and administering big data and real-time streaming analytics architectures
  • Three years of experience architecting, building and administering large-scale distributed applications
  • Three years of experience with Linux operations and development
  • Three years of experience executing DevOps methodologies and continuous integration/continuous delivery
  • Expertise in SQL for data profiling, analysis, and extraction

Work Rights

Not specified

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