Data Engineering Manager, Specialist Technology Team

Benefits

Parental leave

6 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

6 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Offered From the posting source checked Jun 20, 2026
• Adoption assistance: Offered From the posting source checked Jun 20, 2026
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

Offered From the posting source checked Jun 20, 2026

Learning budget

Not verified

Verification

Source-linked checked Jun 7, 2026

Salary

$170K-$230K From the posting source checked Jun 20, 2026

401(k) match

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

Was this benefit information wrong? Tell us.

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

79% above the BLS role benchmark for data and ml aggregate.

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 checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Engineering Manager, Specialist Technology Team Austin, Texas, USA AWS Specialist Technology Team (STT) is the connective tissue between AWS's deep technical specialists, field teams, and customers-delivering L300+ technical expertise, mechanisms, and products that accelerate customer success and drive frictionless AWS adoption at scale. Our mission spans two fronts: we are fundamentally transforming how thousands of field team members access specialist knowledge through AI-powered, on-demand expertise across 30+ technical domains, and we build and ship customer-facing engineered solutions that accelerate AWS service adoption across industries. Our portfolio spans AI-powered specialist knowledge systems, hands-on engagement platforms (e.g., Workshop Studio), content quality and recommendation engines, and go-to-market orchestration tools-collectively enabling field teams to deliver high-quality technical engagements at scale. These products serve thousands of users across the AWS sales organization, generating rich signals about content effectiveness, engagement delivery, knowledge consumption, and field team productivity that require a sophisticated data strategy to capture, model, and translate into actionable insight. We are seeking a Data Engineering Manager to build and lead the data engineering and business intelligence function for STT. You will own the centralized data infrastructure that measures the efficacy and impact of our entire product portfolio, and you will drive the evolution from static reporting into an ecosystem of intelligent, agent-powered data experiences that enable stakeholders to intuitively access and consume data within their day-to-day workflows. This is a foundational leadership role with direct visibility to senior leaders across AWS's sales organization. The insights and data your team generates inform high-impact decisions

Read the full description at www.amazon.jobs. FewerJobs shows a preview and links to the original posting.