Data Engineer, International Devices Data Services

Benefits

Parental leave

6 weeks From the posting source

Non-birth-parent leave

6 weeks From the posting source

Family-building benefits

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

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked Jun 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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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.

Role

Role function

Data From the posting source

Seniority

Mid From the posting source

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Engineer, International Devices Data Services Bengaluru, Karnataka, IND Amazon Devices is looking for a Data Engineer to work with big data related to Amazon's expanding portfolio of Devices, from FireTV, to Ring, to the Echo/Alexa family of products. You will be joining the International Devices Data Services (IDDS) team, whose mission is to empower business stakeholders with data products in support of sales & marketing operations to enable data-driven decisions, and will be supporting international BI teams across Europe, Brazil, India, and Japan with data infrastructure. As a Data Engineer, you drive data engineering initiatives and build solutions that are stable, scalable, secure, and cost-effective, using AWS tools and services. You balance inventiveness with simplicity, while demonstrating sound judgement. Beyond traditional data engineering, this role sits at the center of the team's AI adoption. Our AWS environment is not only a reporting backbone - it is a deployment platform that allows our team to take locally developed AI proofs of concept and scale them into production solutions. You will help translate these proofs of concept into production-grade solutions and ensure our platform scales to meet the demands of new AI-powered workstreams. This agility is critical at a moment when speed of AI adoption directly translates to business impact. You will be working in one of the world's largest and most complex data warehouse environments, supporting multiple high-visibility, business-facing workstreams requiring complex data pipeline integration. You are an expert in the architecture of data warehousing solutions using multiple technologies, with

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