Job Description

Change the world. Love your job.

About the Job
As a Data Engineer on the Smart Manufacturing and Automation team, you will design and implement data models that transform raw semiconductor manufacturing data into analytics-ready assets. Using modern lakehouse technologies (Spark, Apache Iceberg, Delta Lake, and OLAP SQL Engines), you will build ETL pipelines that integrate data from shop floor systems spanning ISA-95 Levels 0-4, processing Petabytes of data.
This role requires understanding of manufacturing data standards including ISA-95 and SEMI standards such as E90 (Substrate Tracking), E10 (Equipment Reliability, Availability, Maintainability, and Utilization), E116, etc. You will translate these domain concepts into scalable data structures that serve downstream analytics and reporting.

Key Responsibilities

• Design and implement data models for manufacturing data domains including equipment performance, substrate tracking, and production metrics, electrical test, etc.
• Build ETL/ELT pipelines using PySpark and SQL to load data into Iceberg and Delta Lake tables with proper historization and auditability
• Develop data transformations aligned with ISA-95 hierarchy and SEMI standards
• Create business vault and information marts that translate raw manufacturing data into analytics-ready data products
• Implement data quality checks and expectations within pipelines to ensure accurate, reliable data
• Collaborate with Manufacturing Engineering and Analytics teams to understand data requirements and deliver solutions
• Document data models, transformation logic, and business rules
• Optimize query performance by optimizing partitioning, clustering, and/or indexing strategies in various database technologies, Delta, and Iceberg.

Minimum Requirements

• Bachelor's degree in Computer Science, Data Science, or related field
• 8+ years of experience in data engineering or analytics
• Strong SQL and Python/PySpark for data transformations
• Experience with OLAP databases such as Redshift, BigQuery, Druid, Clickhouse, StarRocks, etc.
• Experience with lakehouse table formats: Apache Iceberg, Delta Lake, or similar
• Understanding of ETL/ELT patterns and data pipeline development
• Familiarity with Airflow or similar orchestration tools

Preferred Qualifications

• Data Vault 2.0 modeling methodology (Hubs, Links, Satellites, PITs, Bridges)
• Knowledge of ISA-95 hierarchy and/or SEMI standards
• Data quality frameworks (Great Expectations or similar)
• Experience in semiconductor or discrete manufacturing environments
• Databricks experience (Delta Live Tables, Unity Catalog)

Why TI?

• Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
• We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI
• Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us.

About Texas Instruments
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com

Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.

If you are interested in this position, please apply to this requisition.