Data Engineer

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 reuseable 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.

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.