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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.
Qualifications
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)
- 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.
Top Skills
What We Do
Texas Instruments develops semiconductor and computer technology for cellular handsets, digital signal processors and analog semiconductors. Texas Instruments has been making progress possible for decades. We are a global semiconductor company that designs, manufactures, tests and sells analog and embedded processing chips. Our more than 80,000 products help over 100,000 customers efficiently manage power, accurately sense and transmit data and provide the core control or processing in their designs, going into markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. Our passion to create a better world by making electronics more affordable through semiconductors is alive today as each generation of innovation builds upon the last to make our technology smaller, more efficient, more reliable and more affordable – opening new markets and making it possible for semiconductors to go into electronics everywhere. We think of this as Engineering Progress. It’s what we do and have been doing for decades. Learn more https://news.ti.com/index.cfm
