Data Analytics Engineer

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 accommodations@corning.com