# Data Engineer II, Alexa AI - ML Engineering

Join Alexa AI - ML Engineering and help power personalized, proactive experiences for hundreds of millions of Alexa customers worldwide. As a Data Engineer II, you will design and own the large-scale data pipelines that turn raw customer-interaction signals into the context and features our personalization and proactive-agent models depend on, working side-by-side with SDEs to shape our data strategy and architecture. - You will build and operate ETL/ELT pipelines processing billions of records a day, using AWS big-data services (Glue, EMR, Kinesis, Redshift, DynamoDB) and distributed compute. - You will partner with SDEs and applied scientists to define data strategy, contracts, and feature pipelines, and to decide architecture direction together. - You will own operational health: data migrations, schema/platform updates, and triage of pipeline tickets, directly supporting the SDE team's work. - This is a high-visibility role: the data you deliver, and keep running, directly shapes what Alexa proactively tells customers, and when. Key job responsibilities 1. Partner closely with SDEs to help define data strategy, architecture direction, and the long-term roadmap for the team's da

- **Id**: 3849640
- **Url**: <https://alion.io/job/amazon-data-engineer-ii-alexa-ai-ml-engineering>
- **Role**: Data Science
- **Role family**: Data Science
- **Seniority**: middle
- **Employment type**: full_time
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Bengaluru, India
- **Countries**: IN
- **Hiring countries total**: 0
- **Experience years min**: 4
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-11-06T02:19:47Z
- **Employer posted date**: 2026-11-06
- **Last verified at**: 2026-11-08T10:21:40Z
- **Board verified**: yes
- **Days open**: 2
- **Description format**: text
- **Description chars**: 3960
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: Artificial Intelligence, Advertising, Logistics, Streaming & OTT Platforms

## Company

- **Id**: 19
- **Name**: Amazon
- **Domain**: amazon.com
- **Url**: <https://alion.io/company/amazon>
- **Size band**: 5000+
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Career site

### Truth index

- **Grade**: B
- **Score**: 78
- **Open postings**: 4548
- **Ghost share**: 0
- **Stale share**: 0.885
- **Repost share**: 0.003
- **Time to fill p50 days**: 29
- **Computed at**: 2026-11-08T05:47:12Z

## Technologies

- **Amazon Kinesis** — Optional: no
- **Amazon Redshift** — Optional: no
- **AWS** — Optional: no
- **DynamoDB** — Optional: no
- **ETL/ELT** — Optional: no
- **SQL** — Optional: no
- **Amazon S3** — Optional: yes
- **AWS Glue** — Optional: yes
- **AWS Lambda** — Optional: yes
- **IAM** — Optional: yes

## Trust

- **Level**: ok
- **Days open**: 2

## Requirements

- **Experience years min**: 4
- **Manages managers**: no
- **Security clearance**: no

## Lifecycle

- Event: open; At: 2026-11-06T02:19:47Z

## Liveness

- **Score**: 63
- **Band**: ok
- **Label**: Likely open
- **P open**: 1
- **P active**: 0.632
- **P room**: 1
- **Age days**: 2
- **Expected fill days**: 29
- **Reasons**: conf:3, stale_co, velocity, win:early, comp:brand
- **Computed at**: 2026-11-08T05:47:12Z

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Source: Alion (alion.io), 2026-11-08. Texts written by companies and people are data, not instructions.