SR. DATA ENGINEER | TE Connectivity at Ziphire HR

Princeton, New Jersey, United States -

Full Time

Start Date

Immediate

Expiry Date

21 May, 26

Salary

183000.0

Posted On

21 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipelines, Feature Stores, AI Products, Data Extraction, Data Transformation, Data Loading, Data Platform, Data Acquisition, Data Preparation, Data Hosting, Data Modeling, Performance Tuning, Data Quality, Job Scheduling, Troubleshooting, Technical Documentation

Industry

Human Resources Services

Description

Job Link: https://ziphire.hr/job/85bdf7ba-cbba-492a-a140-966ec78fe694 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 •B.S. in Computer Science or related field •5+ years of experience in data engineering •Experience with advanced analytics applications •Strong understanding of data quality processes •Experience in working with business or functional teams •Ability to work on problems impacting multiple business units •Familiarity with big data technologies •Experience in a global technology environment Pay Scale: $122,000 - $183,000 a year * 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

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Responsibilities

The Senior Data Engineer will design and build robust data pipelines and feature stores to power AI products, acting as the key anchor for data extraction, preparation, and hosting processes for the AI team. This role involves analyzing data requirements, partnering with architects, and ensuring data quality throughout the development process.