Texas Instruments

4 months ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Design and implement data models and ETL/ELT pipelines for semiconductor Smart Manufacturing and Automation, transforming shop-floor data into analytics-ready assets. Build lakehouse solutions using Spark, Apache Iceberg, Delta Lake, and OLAP SQL engines, translating ISA-95 and SEMI standards into scalable data structures. Create data vaults and marts, enforce data quality expectations, optimize query performance, and partner with Manufacturing Engineering and Analytics teams to deliver reliable data products.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Design and implement data models for semiconductor manufacturing domains such as equipment performance, substrate tracking, and production metrics.
•Build ETL/ELT pipelines with PySpark and SQL to load Iceberg and Delta Lake tables with historization and auditability.
•Develop data transformations aligned with ISA-95 hierarchy and SEMI standards, translating domain concepts into scalable data structures.
•Create business vaults and information marts that convert raw manufacturing data into analytics-ready data products.
•Implement data quality checks and expectations, document models and business rules, and optimize query performance via partitioning, clustering, or indexing.

Key Requirements

•Bachelor's degree in Computer Science, Data Science, or a related field.
•8+ years of experience in data engineering or analytics.
•Strong SQL and Python/PySpark for data transformations.
•Experience with OLAP databases (e.g., Redshift, BigQuery, Druid, Clickhouse, StarRocks).
•Experience with lakehouse table formats (e.g., Apache Iceberg or Delta Lake) and ETL/ELT pipeline development.

Experience:8+ yearsSemiconductorsManufacturing

Education:Bachelor's in Computer Science, Data Science, or related field

Skills:Data modelingCollaborationDocumentationQuery optimizationData quality focus

Tech Stack:SQLPythonPySparkApache IcebergDelta LakeSparkOLAP SQL EnginesAmazon RedshiftBigQueryDruidClickHouseStarRocksAirflowDelta Live TablesUnity CatalogData Vault 2.0ISA-95SEMI E90SEMI E10SEMI E116

Company Brief

Texas Instruments

Designs and manufactures semiconductors and analog chips used in industrial, automotive, personal electronics, communications, and enterprise systems. It is one of the world’s largest semiconductor companies, with a broad portfolio of embedded processing and power products.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Dallas, United States

Founded: 1930

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Texas Instruments

4 months ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Design and implement data models for semiconductor manufacturing domains such as equipment performance, substrate tracking, and production metrics.
•Build ETL/ELT pipelines with PySpark and SQL to load Iceberg and Delta Lake tables with historization and auditability.
•Develop data transformations aligned with ISA-95 hierarchy and SEMI standards, translating domain concepts into scalable data structures.
•Create business vaults and information marts that convert raw manufacturing data into analytics-ready data products.
•Implement data quality checks and expectations, document models and business rules, and optimize query performance via partitioning, clustering, or indexing.

Key Requirements

•Bachelor's degree in Computer Science, Data Science, or a related field.
•8+ years of experience in data engineering or analytics.
•Strong SQL and Python/PySpark for data transformations.
•Experience with OLAP databases (e.g., Redshift, BigQuery, Druid, Clickhouse, StarRocks).
•Experience with lakehouse table formats (e.g., Apache Iceberg or Delta Lake) and ETL/ELT pipeline development.

Experience:8+ yearsSemiconductorsManufacturing

Education:Bachelor's in Computer Science, Data Science, or related field

Skills:Data modelingCollaborationDocumentationQuery optimizationData quality focus

Company Brief

Texas Instruments

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Dallas, United States

Founded: 1930

Website LinkedIn