Senior Data Engineer Manufacturing Analytics

Job description

Senior Data Engineer - Manufacturing Analytics

**Date:** Sep 25, 2025

**Location:** Charlotte, NC, US, 28216

**Company:** Corning

Requisition Number: 70993

**The company built on breakthroughs.

​ **
**Join us.​ **

Corning is one of the world’s leading innovators in glass, ceramic, and materials science.

From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.

 ​ 

How do we do this?

With our people.

They break through limitations and expectations – not once in a career, but every day.

They help move our company, and the world, forward.

​ 

​At Corning, there are endless possibilities for making an impact.

You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines.

And so much more.​  

​Come break through with us.



The global Information Technology (IT) Function is leading efforts to align IT and Business Strategy, leverage IT investments, and optimize end to end business processes and associated information integration technologies.

Through these efforts, IT helps to improve the competitive position of Corning's businesses through IT enabled processes.

IT also delivers Information Technology applications, infrastructure, and project services in a cost efficient manner to Corning worldwide.

Join a team building the data backbone for digital manufacturing.

You’ll design, run, and scale pipelines across cloud, on‑prem, and edge environments to deliver reliable, actionable insights that improve production performance.

**What you’ll do**

+ Design and build robust data pipelines to collect real-time data from production lines and IoT devices, develop and maintain scalable data architectures (such as data warehouses or lakehouses) to store vast amounts of operational data, and ensure data quality, security, and accessibility
+ Build and optimize ETL/ELT pipelines for MES, SCADA, PLCs, metrology/test systems, and IoT sensors.
+ Automate data workflows, monitoring, and CI/CD to improve resiliency and reduce manual effort.
+ Manage and monitor data environments with quality checks, regression testing, and performance tuning for pipelines and data lakes.
+ Collaborate with domain experts, controls engineers, and data teams to define requirements and deliver solutions.
+ Define IT/OT data interfaces; ingest, maintain, and enhance industrial data sources.
+ Provision and automate infrastructure using Terraform, Ansible, Kubernetes; containerize with Docker.
+ Develop reusable data engineering patterns/libraries, document, review code, and support production in agile sprints.

**What you’ll bring**

+ BS/MS in Computer Science, Engineering, Information Systems, or related field.
+ 3+ years in data engineering (manufacturing/industrial automation preferred).
+ Strong Python and SQL; familiarity with Java, C#, or JavaScript.
+ Hands-on with ETL frameworks (Databricks/Spark SQL, AWS Glue, Informatica).
+ Experience with AWS/Azure/GCP for data storage and compute.
+ Exposure to MES/SCADA and industrial data protocols.
+ CI/CD tools (GitLab, Jenkins, Azure DevOps) and large-scale data/analytics systems.

**Nice to have**

+ Time-series, sensor, or IoT data experience.
+ Manufacturing KPIs, statistical process control, Six Sigma concepts.
+ Data visualization tools (Power BI, Tableau).
+ 3–5 years with Databricks/Spark.
+ Docker and Kubernetes; cloud certifications.

**How you work**

+ DevOps/SRE mindset: infrastructure as code, automated pipelines, container orchestration, monitoring, and change management.
+ Strong problem-solving, clear communication, and collaboration in a matrixed environment.
+ Proactive, adaptable, committed to documentation and knowledge sharing.

**This position does not support immigration sponsorship.**

The range for this position is $115,046.00 - $158,189.00 assuming full time status.

Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.

The benefits available for this position are dependent on hours worked and may include medical, dental, vision, 401(k) plan, pension plan, life insurance coverage, disability benefits, and PTO.

**A job that shapes a life.

**

**Corning offers you the total package.

**

Your well-being is our priority.

Our compensation and benefits package supports your health and wellness, financial, and career from day one

+ As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit that grows throughout your career.

We also offer a 401(k) savings plan with company matching contributions.


+ Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, and disease management programs.
+ Company-wide bonuses and long-term incentives, align with key business results and ensure you are rewarded when the company performs well – when Corning wins, we all win.

   
+ Getting paid for our work is important but feeling appreciated and recognized for those contributions motivates us much more.

That’s why Corning offers a peer-to-peer recognition program to celebrate success by recognizing colleagues who demonstrate above-and-beyond behaviors.



We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

To request an accommodation, please contact us at.

**Nearest Major Market:** Charlotte

Required Skill Profession

Other General