Software Development Engineer, Data Specialist:

Corning New York

Corning is one of the world’s leading innovators in materials science. For more than 160 years, Corning has applied its unparalleled expertise in specialty glass, ceramics, and optical physics to develop products that have created new industries and transformed people’s lives.

Corning succeeds through sustained investment in R&D, a unique combination of material and process innovation, and close collaboration with customers to solve tough technology challenges.

Corning's Manufacturing, Technology and Engineering division (MTE) is recognized as the leader in engineering excellence & innovative manufacturing technologies by providing diverse skills to Corning’s existing & emerging businesses.

We anticipate & provide timely, valued, leading edge manufacturing technologies and engineering expertise.  We partner with Corning’s businesses and the Science & Technology division. Together we create and sustain Corning’s manufacturing as a differential advantage.

Scope of Position:

In this role you will be a key member in the newly formed Applied Advanced Analytics team. The successful candidate will collaborate with data scientist and engineers to implement sophisticated systems and techniques to uncover hidden value in our data assets. Newly discovered insights will drive our manufacturing processes and provide feedback to our manufacturing information and analytics applications. You will be able to listen, observe and understand the true needs, be process curious, technically savvy, and have an overwhelming desire to provide impactful and useful solutions. The successful candidate will have a strong desire to stay technically relevant and be a technical subject matter expert in data-related planning, storage, extraction and transformation of data in traditional and evolving systems.

You will be expected to perform the following:

• Build and utilize data systems that enable analytical needs.

• Development of technical best practices for data mapping, data transformations, data quality, data cleansing, ETL and other data movement related activities.

• Develop and document technical specification for the flow of data to and from our integrated manufacturing systems and other disparate data feeds.

• Improve efficiencies of the data loads and reconciliation of data across a wide range of time series and relational data sources.

• Design and develop high performance ETL code/processes to load data from various sources ranging from single point measurements to cloud based solutions.

• Create data visualization solutions.


Travel Requirements:

Up to 25% travel and could involve international travel.


Hours of work/work schedule/flex-time:

• 8:00AM – 5:00PM • 40 hour weeks and will involve overtime during certain projects or deadlines


Required Education:

MS Computer Science, Information Technology or Software Engineering.


Required Years of Experience:

2-5 years

Required Skills:

• Strong programming skill in .Net technologies, scripting languages such as python

• Knowledge and hands on experience working with data in multiple formats such as XML, CSV, Flat files and databases.

• Strong interest in relational databases and data analysis.

• Database experience with Oracle and Microsoft SQL Server

• MDX Queries, SSIS, Historian Databases

• Experience in technical application of ETL projects (Scoping, Requirements, Design, Development and Deployment).

• Experience interacting with various levels of the organization.

• Experience in following a structured software development process.

• Ability to create and present project related material in front of the Customer/Receiver

• Ability to communicate with the Customer both from an Engineering and I/T requirements perspective

• Must be able to communicate effectively and with an ear for the customer’s true needs.Must be coachable.

• Must be a team player (and resolve issues in consultation with other team members)

• Flexible with respect to travel to international sites



Desired Skills:

• Demonstrable experience designing, building datasets and processes using cloud-based storage and analysis platforms, AWS, Hadoop and Spark

• Experience with Big Data technologies

• Strong desire to grow this area and see it succeed. Willing to provide customers direction and be able to “sell” our solutions.

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

Basic Qualifications