GCP Data Engineer

TEKsystems•Atlanta, GA
•$55 - $60•Remote

About The Position

The EDW Finance engineering team is responsible for building and maintaining the enterprise data pipelines, data models, and reporting assets that power financial reporting, analytics, and operational decision-making across the company. In FY26, these engineers will support both Top 40 strategic initiatives and KTLO (Keep the Lights On) operations within the Finance data domain. Top 40 work includes developing new data pipelines, integrating financial data from SAP and other enterprise systems into the Enterprise Data Warehouse (BigQuery), enhancing data models and semantic layers used by Finance analytics tools, and enabling new capabilities tied to initiatives like One Finance and Orion. KTLO responsibilities include maintaining and optimizing existing ETL/ELT pipelines, ensuring daily financial data loads meet SLA requirements, resolving data quality issues, supporting SOX-controlled datasets, and implementing enhancements to existing Finance reporting solutions. We are looking for a strong GCP Data Engineer with solid expertise in SQL, Python, Big Query, and data analytics. Experience with technologies such as Dataform, Cloud Functions, and building data pipelines using CI/CD best practices. The ideal candidate should be able to make an immediate impact with minimal ramp-up time and ideally have prior experience working in a Finance or Financial Data domain.

Requirements

  • Strong GCP Data Engineer with solid expertise in SQL, Python, Big Query, and data analytics
  • Experience with technologies such as Dataform, Cloud Functions
  • Building data pipelines using CI/CD best practices
  • Prior experience working in a Finance or Financial Data domain
  • Strong communication skills
  • Able to effectively work independently
  • Able to deliver required work with little supervision

Nice To Haves

  • Experience with technologies such as Dataform, Cloud Functions

Responsibilities

  • Developing new data pipelines
  • Integrating financial data from SAP and other enterprise systems into the Enterprise Data Warehouse (BigQuery)
  • Enhancing data models and semantic layers used by Finance analytics tools
  • Enabling new capabilities tied to initiatives like One Finance and Orion
  • Maintaining and optimizing existing ETL/ELT pipelines
  • Ensuring daily financial data loads meet SLA requirements
  • Resolving data quality issues
  • Supporting SOX-controlled datasets
  • Implementing enhancements to existing Finance reporting solutions

Benefits

  • Medical, dental & vision
  • Critical Illness, Accident, and Hospital
  • 401(k) Retirement Plan
  • Pre-tax and Roth post-tax contributions available
  • Life Insurance (Voluntary Life & AD&D for the employee and dependents)
  • Short and long-term disability
  • Health Spending Account (HSA)
  • Transportation benefits
  • Employee Assistance Program
  • Time Off/Leave (PTO, Vacation or Sick Leave)
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