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# GCP Data Engineer

- **Company:** TEKSYSTEMS INC.
- **Location:** Atlanta, GA, United States (Remote available)
- **Salary:** $114,400.0 - $124,800.0
- **Contract:** Temporary contract
- **Skills:** Data Analysis, BigQuery, Continuous Integration, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), SAP (Applications), SQL Databases, Google Cloud, Data Analytics, Data Pipelines
- **Published:** October 17, 2026
- **Apply:** https://www.juju.com/job/1_teksystems3-5469d76cc2dc9e47097b3ecd4b114623

## About the Role

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.
Skills SQL, ETL, CI/CD, GCP, BigQUery, Python, Atscale Top Skills Details SQL,ETL,CI/CD,GCP,BigQUery Additional Skills & Qualifications Strong communication skills and able to effectively work independently.
Client will give piece of work to consultant and expect that person to be able to deliver required work with little supervision Experience Level Expert Level Job Type & Location This is a Contract position based out of Atlanta, GA. Pay and Benefits The pay range for this position is $55.00 - $60.00/hr.
Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

## Description

Description 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.