Senior Data Engineer

Your Job
Molex is seeking a Senior Data Engineer to design, build, and sustain the data
foundation that enables better decisions across our global manufacturing network. In
this role, you will turn complex operational and production data into trusted, reusable
data products that power analytics, AI, and continuous improvement.
Our Team
You will join the Global Operational Excellence team, collaborating with cross-
functional stakeholders to implement innovative digital solutions.
What You Will Do
* ready platforms.
* making.
* Define and enforce data quality, validation, and reliability standards across
manufacturing data flows.
* Work closely with operations, quality, and manufacturing teams to convert real
production challenges into elegant, scalable data solutions.
* grade data products.
* term maintainability.
* Create documentation, standards, and reusable patterns that reduce dependency
on individuals and enable self service analytics across Molex
Who You Are (Basic Qualifications)
* Required: Technical skills
* Bachelor’s degree in Computer Science, Data Engineering, Data Science, or a
related field
* 5~8 years of strong experience with SQL and analytical data modeling for complex
operational datasets
* 5~8 years of proficiency in Python (or equivalent) for building data engineering and
transformation workflows
* 5~8 years of experience developing ETL/ELT pipelines using enterprise or cloud
data tools (e.g., Talend, AWS Glue, or similar)
* 5~8 years of hands on experience with cloud based data platforms such as
Snowflake, Redshift, or comparable analytical warehouses
* Required: Soft skills
* CET-4 or above, with good English listening, speaking, reading, and writing skills;
able to communicate requirements smoothly with internal and external stakeholders.
* Ability to work effectively with incomplete, noisy, or evolving manufacturing and
operations data

* Strong analytical thinking, problem solving, and written communication skills
* Strong communication skills and team collaboration spirit; detail-oriented and
proactive in work
* Preferred:
* AI use cases
* Familiarity with manufacturing concepts such as production reporting, quality
events, material movements, and operational KPIs
*
What Will Put You Ahead
* Proven ability to build scalable, reliable data pipelines for manufacturing
* Experience creating clean, reusable data models that power analytics and AI
* Strong understanding of operational data from systems like ERP, MES, or
equipment sources
* solving mindset with a drive for continuous improvement
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
As a Koch company, Molex is a leading supplier of connectors and interconnect
components, driving innovation in electronics and supporting industries from
automotive to health care and consumer to data communications. The thousands of
innovators who work for Molex have made us a global electronics leader. Our
experienced people, groundbreaking products and leading-edge technologies help
us deliver a wider array of solutions to more markets than ever before.
At Koch, employees are empowered to do what they do best to make life better.
Learn how our [1] 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.
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