Data Engineer/Sr Data Engineer (NOT OPEN TO VISA HOLDERS)Georgia Pacific • United States
Data Engineer/Sr Data Engineer (NOT OPEN TO VISA HOLDERS)
Georgia Pacific
- United States
- United States
Über
Our Team You’ll join a dynamic Content Syndication team supporting our Brand, Marketing, and eCommerce divisions. We work cross‑functionally to ensure our product content is accurate, impactful, and a true competitive advantage for the business.
This role is hybrid and located in Atlanta, GA. The expectation is 3 days in office per week.
What You Will Do
Design, develop, and manage large‑scale ETL pipelines using modern data engineering tools and cloud platforms.
Build and enhance data products, pipelines, and tools that support the full data lifecycle—from proof of concept and prototyping to production deployment.
Collaborate with cross‑functional teams to gather requirements and translate them into scalable data solutions.
Review existing data architectures and solutions to identify opportunities for optimization and improvement.
Develop, enhance, and troubleshoot data pipelines to ensure reliability, performance, and scalability.
Leverage developer productivity tools where relevant to support advanced analytics use cases and improve developer efficiency.
Who You Are (Basic Qualifications)
Experience designing, implementing, and maintaining large‑scale ETL and data engineering solutions.
Hands‑on experience building and operating data pipelines, including ingestion, transformation, orchestration and monitoring.
Experience with CI/CD, Git and Infrastructure as Code (Terraform).
Experience in dimensional data modeling, SQL and Python.
Must have legal authorization to work permanently in the United States without requiring visa transfer or sponsorship.
What Will Put You Ahead
Bachelor’s degree in computer science, engineering or a related field.
Experience in the manufacturing domain, particularly with MES (Manufacturing Execution Systems).
Experience with industrial data platforms such as HighByte Intelligence Hub.
Experience with the MSBI stack: SSIS, SSAS, SSRS and/or Power BI.
Experience with AWS data engineering services such as S3, Glue, Lambda, Step Functions, Redshift and IAM.
Experience with GenAI coding assistants such as Cursor and GitHub Copilot.
Our Benefits Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength—focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes medical, dental, vision, flexible spending and health savings accounts, life insurance, long‑term disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region.
Equal Opportunities Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E‑Verify.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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