Jobs in the United States

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Added 3 mins ago
Test Engineer
Actalent
Orange, CA
Experience with LabVIEW or similar data acquisition and automation platforms.
Added 4 mins ago
HIL System Engineer
Ford
Dearborn, MI · Dearborn
We are seeking a hands-on HIL System Engineer to support the development, integration, and validation of vehicle systems and features. In this role, you will help create and maintain…
Added 5 mins ago
UG
Senior Data Engineer
UnitedHealth Group
Eden Prairie, MN
- $91,700 to $163,700 USD / year
…outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented…
Added 7 mins ago
GH
Senior Software Engineer
GE HEALTHCARE
Remote, United States
- $109,600 to $164,400 USD / year
As a Senior Software Engineer in GE HealthCare's Science & Technology organization, you will develop scalable, cloud-based software solutions that support healthcare innovation and digital…
Added 7 mins ago
JA
Senior Engineer Core Infrastructure
JetBlue Airways Corporation
Salt Lake City, UT · Washington, DC · Orlando, FL · Long Island City, NY
- $105,600 to $150,400 USD / year
The Senior Core Infrastructure Engineer – is focused on ensuring the creation and management of Infrastructure including managing operational stability, performance, and cost-efficiency of…
Added 8 mins ago
E
Senior AI Engineer
Expression
Shirlington, VA
- $180,000 to $210,000 USD / year
…maintainable software. You will collaborate with AI architects, data engineers, and Government stakeholders to build, test, and improve production-quality AI capabilities within an…
Added 9 mins ago
Senior Terrestrial Mechanical Design Engineer, Controls
Varda Space Industries
El Segundo, CA
The Senior Mechanical Design Engineer builds bespoke test infrastructure that qualifies spaceflight hardware for orbit. They design, build, and own sophisticated ground support equipment…
Added 9 mins ago
Senior Terrestrial Automation & Controls Engineer
Varda Space Industries
El Segundo, CA
The Senior Automation & Controls Engineer builds bespoke test infrastructure that qualifies spaceflight hardware for orbit. They design, build, and own sophisticated ground support…
Added 12 mins ago
Engineer sr - Corporate and Manufacturing Networking – Global Technology
Starbucks Coffee Company
WA
As a Senior Engineer on the Corporate and Manufacturing Network Engineering team, you will own the design, implementation, and operational health of Starbucks' corporate and manufacturing…
Added 13 mins ago
IT Principal Application Security Engineer (Must Reside in Texas)
Randolph-Brooks Federal Credit Union
United States
All applicants must reside within the state of Texas and have the capability of performing all of the work from their home in Texas · To successfully work from home, employees must have access to a minimum internet connection as noted by RBFCU
Added 13 mins ago
IT Principal SOC Engineer (Must Reside in Texas)
Randolph-Brooks Federal Credit Union
United States
All applicants must reside within the state of Texas and have the capability of performing all of the work from their home in Texas · To successfully work from home, employees must have access to a minimum internet connection as noted by RBFCU
Added 13 mins ago
Head of Data Engineering
Texas Instruments
Dallas, TX
Engineer scalable data solutions using technologies such as Apache Iceberg, Spark, Trino, Databricks, and high-performance analytical databases.
Added 13 mins ago
Equipment Engineer, MTC Clean
Micron Technology, Inc.
Boise, ID
Micron Technology is seeking an Equipment Support Clean Equipment Engineer to support advanced photomask manufacturing within the Mask Technology Center (MTC). This hands-on equipment…
Added 14 mins ago
MD
MATERIAL HANDLER 2
M.C. Dean, Inc
Annapolis Junction, MD
- $25 USD / hour
Must have demonstrated experience and proficiency with intermediate level MS Excel and Outlook
Added 14 mins ago
Quality Engineer 2
M.C. Dean, Inc
Richmond, VA
…systems, electronic security, telecommunications, life safety, automation and controls, audio visual, and IT systems. M.C. Dean is headquartered in Tysons, Virginia and employs more than…
Added 14 mins ago
Commissioning Engineer Staff
M.C. Dean, Inc
Fort Worth, TX
Applicants selected must have minimum Bachelor’s degree in Engineering with minimum 2+ years of relevant electrical experience
Added 18 mins ago
Engineer, Tooling-CNC Programming
GKN Aerospace Careers
Garden Grove, CA
Plan, create, verify, revise, and optimize machine-control data for multi-axis equipment used to manufacture and inspect complex aerospace parts, tools, and fixtures.
Added 20 mins ago
Design Engineering Manager
Chandler, AZ
…support new product development, configure-to-order (CTO), engineer-to-order (ETO), and product sustaining…
Added 20 mins ago
Design Engineering Manager
Austin, TX
…support new product development, configure-to-order (CTO), engineer-to-order (ETO), and product sustaining…
Added 25 mins ago
System Engineer II
OzarksGo
Fayetteville, AR
Must have valid driver's license without violation, which would prohibit insurability
Added 25 mins ago
Systems Engineer
Humana Inc.
Louisville, KY · Charlotte, NC · Arlington, VA · Tampa, FL · Dallas, TX · Fort Lauderdale, FL · Chicago, IL · Atlanta, GA · NY · Nashville, TN · Boston, MA
The engineer works closely with infrastructure, application, security, vulnerability management, and change management teams to resolve patching issues, remediate vulnerabilities, improve…
Added 25 mins ago
Software Engineer - Garmin Health
Garmin International, Inc.
Olathe, KS
We are seeking a full-time Software Engineer - Garmin Health at Garmin's U.S. headquarters in the Greater Kansas City area. As a member of the Garmin Health team, you will develop and…
Added 25 mins ago
Software Engineer - Machine Learning
Garmin International, Inc.
Olathe, KS
We are seeking a full-time Software Engineer at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will build the platforms, tooling, and infrastructure that…
Added 28 mins ago
Associate, Optical Engineer
L3Harris Technologies
Herndon, VA · Palm Bay, FL
Optical, electronic, radio-frequency (RF), timing, data-acquisition, or other laboratory instrumentation and measurement techniques, including precision measurement, uncertainty analysis,…
Added 29 mins ago
Physical AI Senior Engineer
Toyota
Georgetown, KY
Toyota’s Manufacturing Innovation & Transformation (MIT) – Manufacturing Center of Excellence is looking for a passionate and highly motivated Physical AI Senior Engineer.

Texas Instruments

Head of Data Engineering

Dallas, TX, United States

Apply on edbz.fa.us2.oraclecloud.com About employer

Applications open in a new tab.

Job details

Experience: 15+ years of experience in software engineering, data engineering, or enterprise data architecture, including significant experience leading large engineering organizations.
Posting language: English
Posted: Nov 10, 2026

Original job description

Texas Instruments is seeking an experienced and visionary Head of Data Engineering to lead the strategy, architecture, engineering, and delivery of enterprise data capabilities across the company. As part of the Data & Agentic Platforms and Solutions (DAPS) organization, this leader will be responsible for building and scaling a modern, reliable, secure, and reusable data ecosystem that powers business operations, advanced analytics, AI, and agentic solutions. The role requires a hands-on technology leader who can drive enterprise-wide data engineering transformation, modernize legacy data integration patterns, and establish engineering practices that enable trusted, near-real-time access to data across product design , testing, manufacturing, supply chain, product engineering, customer, and enterprise functions. The successful candidate will combine deep technical expertise with strong organizational leadership, execution discipline, and the ability to translate complex data challenges into measurable business outcomes.

Responsibilities

Enterprise Data Engineering Strategy & Architecture

Define and execute the enterprise data engineering strategy aligned with TI's business priorities and DAPS technology roadmap.
Architect scalable data integration, ingestion, transformation, and delivery capabilities across on-premises, factory, and cloud environments.
Drive modernization from traditional batch-oriented and point-to-point data movement toward event-driven, real-time, and reusable data architectures.
Establish standards for data pipelines, data contracts, data modeling, orchestration, and engineering practices.
Partner with enterprise architecture and platform engineering teams to drive adoption of open, interoperable data architectures.

Data Integration & Real-Time Engineering

Lead the design and implementation of enterprise-scale batch, streaming, and change data capture (CDC) pipelines.
Build robust data ingestion and integration capabilities using technologies such as Kafka, Spark, Flink, and modern data orchestration frameworks.
Enable near-real-time data availability for critical decision-making.
Drive reusable, metadata-driven integration patterns that reduce duplication and accelerate onboarding of new data sources.
Ensure data pipelines meet demanding requirements for throughput, latency, reliability, and recoverability.

Enterprise Data Products & Data Domains

Lead engineering delivery of trusted, reusable data products across domains.
Partner with domain owners, business teams, and data architects to establish authoritative sources and integrated data models.
Build standardized, governed data products accessible through APIs, events, and analytical interfaces.
Enable end-to-end data connectivity, traceability, and integration across business processes.
Establish engineering practices for data product lifecycle management, versioning, and service-level commitments.

Modern Data Platforms & Engineering

Drive adoption of modern lakehouse architectures, open table formats, and distributed data processing for on prem air gapped systems and multi cloud hybrid systems.
Engineer scalable data solutions using technologies such as Apache Iceberg, Spark, Trino, Databricks, and high-performance analytical databases.
Optimize data processing for performance, scalability, cost, and operational efficiency across hybrid environments.
Establish reusable frameworks for ingestion, transformation, data validation, and publishing.
Partner with platform teams to ensure consistent engineering practices across enterprise data infrastructure.

Data Quality, Reliability & Governance

Embed data quality, observability, lineage, and security into engineering workflows by design.
Establish automated data validation, reconciliation, anomaly detection, and monitoring.
Define and manage service-level objectives for data freshness, completeness, accuracy, and availability.
Partner with the Data & AI Governance Office to implement classification, access controls, retention, and compliance requirements.
Drive proactive incident prevention, root-cause analysis, and continuous improvement of data reliability.

AI-Ready Data & Knowledge Engineering

Enable trusted, contextualized, and accessible enterprise data for AI, machine learning, and agentic applications.
Build data engineering capabilities that support semantic layers, knowledge products, retrieval systems, and enterprise AI solutions.
Partner with AI engineering teams to ensure reliable data access through governed APIs, structured datasets, and knowledge interfaces.
Establish patterns for securely exposing enterprise data to agents while maintaining access controls, lineage, and accountability.

Engineering Leadership & Operational Excellence

Build, lead, and develop a high-performing organization of data engineers, technical leads, and engineering managers.
Establish strong engineering disciplines including CI/CD, DataOps, infrastructure as code, automated testing, and production observability.
Drive engineering productivity through standardization, automation, reusable components, and developer enablement.
Own delivery commitments, operational reliability, technical debt reduction, and continuous platform improvement within the data engineering function.
Partner with business and technology stakeholders to prioritize investments based on measurable business impact.
Develop technical talent, succession plans, and a culture of ownership, accountability, and engineering excellence.

Minimum Requirements:

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field.
15+ years of experience in software engineering, data engineering, or enterprise data architecture, including significant experience leading large engineering organizations.
Demonstrated success designing and operating enterprise-scale data platforms in complex, global environments.
Deep expertise in distributed data processing, data integration, streaming architectures, and modern data engineering frameworks.
Deep expertise in deploying workload on Kubernetes environments
Strong experience with technologies such as Kafka, Spark, Flink, Python, SQL, and modern data orchestration platforms.
Experience with lakehouse architectures, open table formats such as Apache Iceberg or Delta Lake, and distributed analytical systems.
Strong understanding of data modeling, data quality, metadata management, governance, and security.
Proven ability to lead large-scale technology modernization and deliver reliable, production-grade engineering solutions.
Strong executive communication, stakeholder management, and cross-functional leadership skills

TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.

Why TI?

The future starts here. As a TIer, you'll play a critical role in defining the next era of semiconductor technology and help create the innovations that shape the world around us.
Surround yourself with a team of innovators who value your unique perspective and will challenge you to bring your best self to work every day. We believe that fostering a culture of collaboration fuels both personal growth and technological breakthroughs. Explore our company culture.
At TI, your success goes beyond your work. Take advantage of comprehensive benefits designed to support your total well-being at work and in life, from competitive compensation to extensive health coverage and wellness programs. Learn more about our benefits offerings.

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.

Apply on edbz.fa.us2.oraclecloud.com About employer

More about this job

Skills

Data engineering
Supply chain management
Data modelling
Apache Kafka
Apache Spark
Decision making
Data models
Business processes
Process data
Databricks
Regulatory compliance
Root cause analysis
Process improvement
CI/CD
Infrastructure as code
Test automation
Computer science
Kubernetes
Python
SQL
Communication skills
Stakeholder management
Leadership
Recruitment

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Work requirements

Jobs in the United States