Automation Operations Infrastructure Engineer

Intel•Hillsboro, OR

1d•Onsite

About The Position

Intel is seeking a Database and Data Loader Support Engineer for its Level 2 support team within Intel Foundry Automation’s Data Analytics and Process Control team. The role supports database systems and data loader processes in an automated manufacturing environment, helping ensure reliable operations, effective data integration, and efficient manufacturing processes across factory networks. The position involves hands-on troubleshooting, maintenance, monitoring, and technical support for critical production systems, as well as working with end-users and cross-functional teams to resolve operational and performance issues. The role supports a 24x7 operational environment and follows a compressed work-week schedule, with 12-hour day shifts. It is an Intel contract employee position with a stated duration of 36 months (three years). The position is onsite and is not eligible for Intel immigration sponsorship.

Requirements

Associate of Science in Computer Science, Digital Systems, Information Technology, Information Systems, Computer Engineering, or a related STEM field.
At least 1 year of experience with relational database technologies and database engineering or database administration support.
At least 1 year of experience with automated monitoring and alerting systems.
At least 5 years of operational support experience in a factory automation environment.

Nice To Haves

Proficiency in writing and optimizing SQL queries.
Experience administering major database platforms such as SQL Server, Oracle, MySQL, or PostgreSQL.
Understanding of database concepts such as tables, indexes, views, and stored procedures.
Knowledge of database backup and recovery procedures.
Familiarity with database monitoring tools and performance metrics.

Responsibilities

Provide Level 2 technical support for database systems and data loader processes, troubleshooting and resolving complex issues in critical production environments.
Maintain database systems and monitor data-flow processes to support smooth operations and data integration.
Collaborate with end-users and cross-functional teams to address database performance challenges and operational bottlenecks.
Use Agile frameworks and ITIL/incident management processes to resolve problems effectively.
Support 24x7 operations, including availability for 12-hour day shifts on a compressed work-week schedule.
Implement procedures and solutions that support adherence to system protocols and improve operational efficiency.
Use automated monitoring and alerting systems to identify and resolve technical issues proactively.