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Date: Jun 29, 2026
Location: Apodaca, NLE, MX, 66614
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Company: Corning
Senior Data Analytics Engineer
Are you looking for an opportunity to combine data engineering and analytics in a role that drives real business impact?
Would you like to join a global organization where you can build scalable data solutions, generate actionable insights, and help teams make better decisions through trusted, high-quality data?
ROLE DESCRIPTION
What is your role?
The Senior Data Analytics Engineer is responsible for designing, building, and maintaining reliable data pipelines while also performing data analysis to support business decision-making. This role bridges engineering and analytics, ensuring that high-quality, accurate, and accessible data is available across the organization. The position works closely with cross-functional teams to transform business needs into scalable data solutions, reporting, and actionable insights.
Major responsibilities and tasks of the position:
Develop, maintain, and optimize scalable data pipelines and ETL/ELT processes using Databricks and related tools
Build and maintain data models, dashboards, and analytics solutions that support reporting and business KPIs
Ensure data quality, governance, traceability, and integrity through monitoring and validation processes
Partner with cross-functional stakeholders to identify business needs and deliver data-driven insights and solutions
REQUIREMENTS
What do you need to have?
Bachelor’s degree in Engineering, Mathematics, Statistics, Computer Science, or a related field
3 to 5 years of experience in data engineering, data analytics, analytics engineering, or a similar role
Hands-on experience with Databricks, including data pipelines, SQL, Delta Lake, and notebooks
Strong SQL and Python skills for data manipulation, transformation, and analysis
Experience with ETL/ELT pipelines, data modeling, and data quality/governance practices
Experience with BI tools such as Power BI, Tableau, or similar platforms
Familiarity with cloud platforms such as Azure, AWS, or GCP
Strong analytical and problem-solving skills, with the ability to communicate technical concepts to non-technical stakeholders
English proficiency, both spoken and written
PREFERRED QUALIFICATIONS
Master’s degree in Artificial Intelligence, Statistics, or a related field
Familiarity with SAP ERP systems and integration with data solutions
Experience working with manufacturing KPIs, statistical process control, or Six Sigma concepts
Exposure to predictive modeling and machine learning pipelines
Understanding of Agile methodologies such as Scrum and Kanban
BENEFITS OF WORKING FOR CORNING
What we offer?
Competitive compensation and benefits package
A collaborative environment that supports learning, innovation, and professional growth
The opportunity to work on impactful, cross-functional data and analytics initiatives
Exposure to modern data tools, cloud technologies, and business-critical decision-making
Equal opportunity employer
Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodation to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodations related to disability or religion, please contact us at
[email protected]
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