Data Engineer

Your Job

Your Job
As a Data Engineer at Koch Capabilities, you will design, build, and operate
scalable, reliable data pipelines and platforms that power advanced analytics and
machine learning applications across the enterprise. You will work across distributed
data environments, enabling highquality, trusted, and timely data for business,
analytics, and AI use cases.
Our Team
You will be part of the Data & Analytics organization, collaborating closely with
product managers, analytics teams, data scientists, and engineering peers. Our
team focuses on building enterprisegrade data systems, modernizing data platforms,
and enabling selfservice consumption of highquality data through technical
excellence and engineering best practices.
What You Will Do
 Design, build, optimize, and maintain scalable batch and streaming
ETL/ELT pipelines supporting analytics, BI, and ML workloads.
 Work extensively with Enterprise Data Lake environments to manage
ingestion, curation, storage, and transformation of largescale datasets.
 Own and maintain data models, schemas, metadata, and promote strong
data engineering standards and governance across platforms.
 Implement automated testing, monitoring, alerting, and quality frameworks
to ensure accuracy, reliability, and observability of data pipelines.
 Optimize data storage, query performance, and compute cost across cloud
data warehouses and data lakes.
 Partner with analytics, product, and ML engineering teams to build robust data
foundations, ensuring seamless consumption for downstream use cases.
 Mentor junior engineers and promote a culture of engineering excellence,
innovation, and continuous improvement.
 Apply handson knowledge of Agentic AI to enhance data engineering
workflows and accelerate development productivity.
Who You Are (Basic Qualifications)
 6+ years of experience as a Data Engineer or in a similar data engineering
role.

 Strong handson expertise with cloud platforms, particularly AWS (Glue,
Lambda, CloudWatch, Bedrock).
 Proficiency in SQL and one or more programming languages such as
Python, Scala, or Java.
 Practical experience with Apache Spark and Kafka for largescale data
processing and streaming.
 Experience building and orchestrating workflows using tools such as Airflow
or Dagster.
 Strong understanding of cloud storage technologies (e.g., Amazon S3,
ADLS) and modern cloud data warehouses (Snowflake, BigQuery).
 Demonstrated ability to work in distributed, cloudnative data environments.
What Will Put You Ahead
 Experience working in largescale enterprise data lake or data mesh
architectures.
 Exposure to performance tuning, cost optimization, and distributed systems
scaling.
 Familiarity with ML/AI workloads and data requirements for model training and
inference.
 Experience driving engineering best practices, automation, and CI/CD for data
pipelines.
 Prior experience enabling Agentic AI or AIdriven data engineering
accelerators.

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.