Jobs in the United States

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Added 1 min 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 2 mins ago
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Senior Data Engineer
Expression
Shirlington, VA
- $180,000 to $200,000 USD / year
…within the Government's existing AI environment. The Senior Data Engineer will be responsible for implementing governed data integrations with enterprise platforms, including Palantir,…
Added 2 mins ago
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Senior AI Engineer
Expression
Shirlington, VA
- $180,000 to $210,000 USD / year
Multi-agent orchestration and model integration
Added 3 mins ago
Systems Engineering Program Manager, Autonomous Airpower
Anduril Industries
Costa Mesa, CA
…program. As Program Manager you will lead the development and integration of Anduril products and technologies alongside the Lead Systems Engineer and will be directly responsible for all…
Added 7 mins ago
Head of Data Engineering
Texas Instruments
Dallas, TX
…enterprise-wide data engineering transformation, modernize legacy data integration patterns, and establish engineering practices that enable trusted, near-real-time access to data across…
Added 16 mins ago
VG
R&D Embedded Software Engineer
Veralto Global
Loveland, CO
- $95,000 to $105,000 USD / year
Experience in Agile project management, continuous integration, and unit testing.
Added 19 mins ago
Senior Data Quality / Integrity Engineer
Humana Insurance Company
Remote, United States
In this key role on the Quality Systems Integration (QSI) team, the QSI Senior Data Quality / Integrity Engineer will leverage their Humana, clinical data, market, and healthcare expertise…
Added 19 mins ago
Technical Product Owner
Meijer Great Lakes LP
MI
Create and maintain clear feature definitions, process flows, interface requirements, non-functional requirements, dependency maps, and release objectives so engineering teams can execute…
Added 20 mins ago
Lead Unified Communications & Collaboration (UCC) Systems Engineer
Lincoln Financial
Greensboro, NC
As the Lead Unified Communications & Collaboration (UCC) Systems Engineer, you will be an individual-contributor technical lead responsible for the architecture, engineering, security,…
Added 23 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.
Added 25 mins ago
Process Engineer
Avago Technologies Wireless (U.S.A.) Manufacturing LLC
United States
Scale new unit processes and integration schemes from initial R&D development into High-Volume Manufacturing (HVM) with clear process windows and robust process control
Added 26 mins ago
Mission Engineer - Missile Tracking / Missile Warning
IESE Solutions
El Segundo, CA
As a Mission Engineer, you will support Space Systems Command (SSC) and the Space Systems Integration Office (SSIO) in advancing BZC's Systems-of-Systems Engineering (SoSE) mission by…
Added 30 mins ago
4261-Real Property Appraiser
City and County of San Francisco
San Francisco, CA
Specific information regarding this recruitment process are listed below:
Added 31 mins ago
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Sr. Oracle Cloud DBA
TEKsystems
Minneapolis, MN
- $120,000 to $150,000 USD / year
DescriptionJob SummaryThe Cloud Database Engineer provides operational database services across both cloud (AWS) and on-premises environments, ensuring seamless data flow by designing and…
Added 32 mins ago
Senior FPGA Digital Design & Development Engineer (Hybrid)
Cisco
Milpitas, CA
As a Senior FPGA Engineer in Cisco’s IoT team, you’ll develop capabilities that help industrial networks operate reliably, maintain precise timing, and recover from disruptions. Your…
Added 33 mins ago
Electrical Engineer (Mid-Level)
The Boeing Company
Heath, OH
Candidates must live in the immediate area or relocate at their own expense
Added 33 mins ago
Associate Mechanical Engineer
The Boeing Company
Heath, OH
Candidates must live in the immediate area or relocate at their own expense
Added 33 mins ago
Spacecraft Software Simulation & Test Engineer - Millennium Space Systems
Millennium Space Systems
El Segundo, CA
As a Software Test Engineer, you will support the Flight Software Team in analyzing, designing, and testing of software products for Millennium Space Systems. This position will review…
Added 34 mins ago
Solutions Engineer (AI/ML) - South East US Region
Buzz Solutions
Remote, United States
As a Solutions Engineer, at Buzz Solutions, you will play a pivotal role in driving the adoption of our AI-powered solutions, PowerAI and PowerGUARD, within the electric utility sector.…
Added 34 mins ago
Staff SW QA Engineer
DexCom Inc
Remote, United States
…methodologies including Agile, Waterfall, DevOps, Continuous Integration, Continuous Delivery (CI/CD), and Test…
Added 37 mins ago
Systems Engineer
SAIC
Chantilly, VA
SAIC is seeking an expert-level Systems Engineer to provide strategic program management and SETA support for multiple AI/ML and data analytics initiatives within a mission-critical…
Added 38 mins ago
Equipment Engineer
Ralliant
Chandler, AZ
Pacific Scientific EMC is seeking a hands‑on, solutions‑driven Equipment Engineer to support production operations, maintain and improve manufacturing equipment, and develop robust tooling…
Added 43 mins ago
Construction Project Engineer II
IPS-Integrated Project Services
Somerset, NJ
Must possess the ability to stoop, kneel, crouch, and crawl as required · Must have access to reliable transportation
Added 44 mins ago
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Sr. Systems Engineer
Astrolab
Hawthorne, CA
- $160,000 to $195,000 USD / year
Training: Able to effectively train peers on equipment and process requirements
Added 48 mins ago
Lead, Application Security Engineering
The Northern Trust Company
Tempe, AZ
The Lead, Application Security Engineering will help engineer, run, and continuously improve the technical capabilities that support Northern Trust’s Application Security program.

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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Jobs in the United States