2/19/26

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

Job Description:

Job Overview

TE Connectivity Ltd., is a $16 billion global technology and manufacturing leader creating a safer, sustainable, productive, and connected future. For more than 75 years, our connectivity and sensor solutions, proven in the harshest environments, have enabled advancements in transportation, industrial applications, medical technology, energy, data communications, and the home. With 80,000 employees, including more than 8,000 engineers, working alongside customers in approximately 140 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat and Twitter.

Job Overview

At TE we strongly believe that data and analytics are strategic drivers for future success. We are investing significantly in building our advanced analytics team. The Analytics team at TE is responsible for driving organic growth by leveraging big data and advanced analytics. The team reports to the VP and Chief Data Officer at TEIS, works closely with the SVP of Corporate Strategy, and has regular interactions with the company's C-Suite. This Senior Data Engineer position will directly report to the Director of Analytics Insights.

We are on an exciting journey to build and scale our advanced analytics practice; in this position you will apply your skills to unlock opportunities and enable top strategic priorities for TE. You will be working on problems that require advanced analytics applications to create value for engineering function and will impact business units that span through multiple geographic areas.

Responsibilities
• Design and build robust data pipelines and feature stores that powers our AI products.
• Analyse data requirements, understand complex data sources, and partner with architects to determine the best methods to extract, transform, and load data into data platform.
• Lead conversations with business or functional teams to translate user requirements into reusable and cost-efficient data acquisition methodologies for AI products.
• Be the key anchor for data extraction, preparation and hosting processes representing the AI team. Data expert for engineering datasets used by data scientists working on various use cases.
• Perform functional and stress testing on data models and extraction jobs to ensure that design is optimized for performance, scale, and reusability.
• Manage foundational data administration tasks such as scheduling jobs, troubleshooting job errors, identifying issues with job windows, assisting with database backups and performance tuning.
• Ensure data quality throughout entire development process, including audits and feedback loops to sources of truth.
• Create or update technical documentation for transition to support teams.
• Mentor junior data engineers

What your background should look like:

Education
• B.S. in Computer Science or Computer Engineering or related field

Minimum Requirements
• 5+ years of experience building robust and production-grade data pipelines and data models.
• Strong understanding of data modelling for AI products
• Hands-on experience working with large volumes of structured and unstructured data
• Strong proficiency in Python and SQL
• Experience working in a cloud environment, AWS preferred.
• Proficiency with modern software development methodologies such as Agile, source control, CI/CD, project management and issue tracking with JIRA
• Strong problem-solving capabilities. Results oriented. Relies on fact-based logic for decision-making.
• Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.
• Willing to flex daily work schedule to allow for time-zone differences for global team communications.

We Value
• AWS Cloud and Databricks certifications are strongly preferred. Ability to obtain them after joining team is required.
• Experience in working with data scientists building AI and GenAI products
• Strong communication skills with ability to communicate technical terms to business teams
• Ability to work independently in a fast-paced environment

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

ABOUT TE CONNECTIVITY

TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.

Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter).

COMPENSATION
• Competitive base salary commensurate with experience: $122,000- $ 183,000 (subject to change dependent on physical location)
• Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity.
• Total Compensation = Base Salary + Incentive(s) + Benefits

BENEFITS
• A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits.

EOE, Including Disability/Vets

IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.

Job Locations:

United States

Posting City: Middletown

Job Country: United States

Travel Required: None

Requisition ID: 147938

Workplace Type:

External Careers Page: