Senior Data Engineer — AI/ML Data Pipelines (Hybrid MX)

Corning Inc.; Monterrey; Hybrid; MXN 600,000 - 900,000; Full time

Benefits offered by this job

Hybrid work arrangement

Competitive compensation and benefits

Job summary

Corning Inc. in Monterrey (hybrid) seeks a Senior Data Engineer to design, build, and optimize scalable ETL/ELT pipelines and cloud-based data solutions that support manufacturing, analytics, and AI/ML initiatives.

You will lead complex projects, mentor engineers, partner with stakeholders, and ensure data quality and observability across production pipelines.

Join a global team delivering high-impact data products for operations and decision-making.

Qualifications

• Bachelor's degree in a related technical field.
• 3+ years in Data Engineering or a data-focused role designing, building, or supporting production data pipelines.
• 2+ years hands-on experience with Python and building data pipelines in production.

Responsibilities

• Design, build, optimize, and maintain scalable ETL/ELT pipelines for batch and near-real-time use cases.
• Develop reliable datasets supporting manufacturing visibility, analytics, reporting, and AI/ML applications.
• Implement automated data-quality checks, monitoring, and observability to improve data reliability.

Skills

Python

Spark / PySpark

SQL

Cloud platforms (AWS/Azure/GCP)

Data modeling

Leadership & mentoring

Communication

Education

Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or related discipline

Tools

Databricks

Airflow

Kafka

Snowflake

Job description

Corning Inc. in Monterrey (hybrid) seeks a Senior Data Engineer to design, build, and optimize scalable ETL/ELT pipelines and cloud-based data solutions that support manufacturing, analytics, and AI/ML initiatives.

You will lead complex projects, mentor engineers, partner with stakeholders, and ensure data quality and observability across production pipelines.

Join a global team delivering high-impact data products for operations and decision-making.