Sr. Data Engineer
Corning Incorporated2 months ago
Monterrey, MexicoSenior
Responsibilities
- Design, build, optimize, and maintain scalable ETL/ELT pipelines and data solutions for batch and near-real-time use cases.
- Develop production-ready datasets supporting manufacturing visibility, operational decisions, analytics, reporting, and AI/ML applications.
- Implement automated data-quality checks, monitoring, observability, and validation processes.
- Lead complex Data Engineering projects across solution design, development, testing, deployment, troubleshooting, and continuous improvement.
- Collaborate with manufacturing teams, analysts, data scientists, product owners, architects, application teams, and business stakeholders.
- Mentor Data Engineers through code reviews, technical guidance, troubleshooting support, and engineering best practices.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or another related technical discipline.
- At least 3 years of experience in Data Engineering or a related data-focused role involving production data pipelines.
- At least 2 years of hands-on professional experience using Python and building production data pipelines.
- Strong hands-on experience with Apache Spark, PySpark, SparkSQL, or comparable distributed data-processing technologies.
- Advanced SQL skills and experience with data modeling, relational databases, data warehouses, data lakes, or lakehouse environments.
- Experience with manufacturing, production, industrial, operational, equipment, quality, or supply-chain data.
- Experience with AWS, Azure, or Google Cloud; AWS is strongly preferred.
- Experience leading technical projects or independently owning complex Data Engineering initiatives.
- Strong communication and collaboration skills for explaining technical solutions and architecture decisions to technical and non-technical stakeholders.
- Helpful qualifications include experience with Databricks, Snowflake, Delta Lake, Parquet, Iceberg, PostgreSQL, MySQL, Microsoft SQL Server, Kafka, Flink, Airflow, Dagster, Prefect, time-series or sensor data, industrial IoT, operational technology systems, PI Integrator, Camstar, Maximo, LangChain, LlamaIndex, or Semantic Kernel.
- Exposure to AI/ML data pipelines, Large Language Models, AI agents, intelligent automation, or AI-enabled data-quality solutions is helpful.
Benefits
- Hybrid role based in Monterrey or Reynosa, Mexico.
- Opportunity to lead technically challenging Data Engineering projects with direct manufacturing and business impact.
- Exposure to modern cloud platforms, distributed data processing, AI/ML-enabled solutions, and intelligent data-quality technologies.
- Career-growth opportunities in Data Engineering expertise, AI/ML specialization, technical leadership, or future people management.
- Opportunities to mentor engineers and influence Data Engineering standards and best practices.
- Collaboration with global manufacturing, technology, analytics, and business teams.
- Competitive compensation and benefits.
Tech Stack
Apache AirflowApache FlinkApache KafkaApache SparkAWSAzureDatabricksGoogle CloudMicrosoft SQL ServerMySQLPostgreSQLPythonSnowflakeSQL
Categories
Data Engineering
About Corning Incorporated
Corning Incorporated designs and manufactures specialty glass, ceramics, and optical materials for consumer electronics, communications networks, automotive emissions control, advanced displays, and life-science research. Core lines include Gorilla Glass and other specialty materials, display glass substrates, optical fiber and connectivity, emissions-control substrates, and laboratory vessels sold to device makers, network builders, automakers, and researchers. Founded in 1851 and headquartered in Corning, New York, it is a public company traded on the NYSE (ticker: GLW).