Sr Data Engineer at Koch in United States

Job description

• Georgia-Pacific is seeking a Data Engineer/ Sr. Data Engineer to join the IT Data & Analytics Packaging & Cellulose Delivery Team, supporting the Corrugated business within GP’s Packaging & Cellulose segment. A Data Engineer is responsible for designing, building, and maintaining robust data pipelines, architecture, and systems that enable the collection, transformation, and analysis of manufacturing data. The role requires a blend of technical expertise, domain knowledge, and leadership skills to ensure data availability, integrity, and usability for business intelligence applications.

Responsibilities

• Develop business intelligence and data warehousing solutions to meet business needs
• Maintain, monitor and troubleshoot existing ETL jobs and Power BI Reports
• Troubleshoot, fix and explain failures/errors in data/ETL
• Adopting best practices in the implementation and execution of support processes
• Maintaining and troubleshooting existing BI Models to ensure continuous operation
• Collaborating with various IT teams such as infrastructure support, networking, database administrators, delivery and platforms team
• Participates in scheduled Agile Ceremonies

Requirements

• Experience collaborating across teams, mentoring and motivating others while influencing alignment and strong practices
• 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 in BI & Semantic Layer Development and Reporting & Visualization
• Experience in Data Warehousing and Dimensional data modeling
• Must have legal authorization to work permanently in the United States without requiring visa transfer or sponsorship
• Bachelor’s degree in computer science, engineering or a related field
• Experience in the manufacturing domain, particularly with MES (Manufacturing Execution Systems)
• Experience with CI/CD, Git and Infrastructure as Code (Terraform)
• Experience with the MSBI stack: SSIS, SSAS, SSRS and/or PowerBi
• Experience with AWS data engineering services such as S3, Glue, Lamda, Step Functions, Redshift and IAM
• Experience with AI and automation tools such as Cursor, Power Automate, Windsurf and Github CoPilot
• Experience in dimensional data modeling, SQL and Python

Skills

Required

• ETL
• Data engineering
• Data pipelines
• BI & Semantic Layer Development
• Reporting & Visualization
• Data Warehousing
• Dimensional data modeling
• Collaboration
• Mentoring
• Motivating others
• Influencing alignment
• Strong practices

Preferred

• MES (Manufacturing Execution Systems)
• CI/CD
• Git
• Infrastructure as Code (Terraform)
• SQL
• Python

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, ADD, 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. If you have questions on what benefits apply to you, please speak to your recruiter.
• Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.
• At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.