SR. DATA ENGINEER - (AI & Analytics)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified last checked Jun 13, 2026

Salary

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

SR. DATA ENGINEER - (AI & Analytics) Job Country India 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 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 ac

Read the full description at careers.te.com. FewerJobs shows a source-linked preview and links to the original posting.