About the role

Data Engineer – Koch

Your Job

We are hiring a Data Engineer to join the KGS Analytics / Visualization capability. In this role you will design and deliver reliable, scalable data pipelines and Lakehouse solutions that enable analytics and visualization products for global business partners. You will partner closely with Business Analysts, Analytics Consultants, and engineers to translate business needs into robust data models, operational ETL pipelines, and metadata-driven solutions that accelerate insight and decision-making.

Our Team

The role is part of Koch Global Services (KGS) Analytics — an international team that develops analytics, BI, and visualization products for Koch businesses. As a member of this team you’ll collaborate with global stakeholders across Supply Chain, Finance, Sales, and Operational Excellence to build reusable, production-grade data capabilities.

What You Will Do

Design and implement scalable, maintainable data pipelines and Lakehouse solutions that power dashboards and analytics at enterprise scale.
Translate business problems into logical/physical data models and technical implementation plans that enable fast, accurate insights.
Improve data quality, lineage, and reliability via metadata-driven design, source-to-target tracking, and automated validation.
Optimize data performance, security, and cost through thoughtful architecture choices (e.g., partitioning, caching, incremental processing).
Collaborate with analysts, BI developers, and stakeholders to turn analytic requirements into productionized data products and reusable data assets.
Drive developer productivity and production stability by implementing source control, CI/CD, testing, and deployment best practices.
Advocate for and implement standards, frameworks, and reusable tooling to increase engineering velocity and enable impact analysis.

Who You Are (Basic Qualifications)

Bachelor’s degree in Computer Science, MIS, Engineering, Mathematics, or equivalent experience — or 3+ years of industry professional experience.
3+ years of hands-on Data Engineering experience building, deploying, and operating data pipelines and data models (cloud or on-prem).
Strong SQL skills with demonstrated experience designing and implementing data warehouses / dimensional models.
Experience developing in Python/PySpark (or equivalent) and working with cloud lakehouse architectures (MS Fabric / Azure Lakehouse or similar).
Practical experience with git-based source control (GitLab, GitHub, Azure DevOps) and working knowledge of CI/CD for data solutions.

What Will Put You Ahead

2+ years working with the Azure stack: Delta Lake, Delta Live Tables (DLT), Azure Databricks, and MS Fabric.
2+ years implementing cloud ETL/ELT and data warehousing with Azure Data Factory or equivalent orchestration tools.
Experience with data visualization tools (Power BI) or analytics tooling (Python) for enabling downstream consumers.
Experience implementing automated CI/CD pipelines for data engineering, and familiarity with containerization (Docker) and Kubernetes.
Advanced degree (MS/PhD) in a relevant field or certifications in Azure / data engineering technologies.

Compensation Philosophy

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.

Who We Are

At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company. 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.

Azure Data Engineer