Data Engineer, Amazon Ads

Amazon; Seattle (WA); On-site; USD 132,100 - 178,800; Full time

Benefits offered by this job

Comprehensive health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Senior Data Engineer in Seattle to build a finance data platform for the FAIM team. You will own the entire data infrastructure, from ETL pipelines to reporting layers, driving standards for data quality and reliability.

A spirited and empowered environment awaits you, where you can leverage AWS technologies and foster partnerships across engineering and finance. If you have 3+ years of data engineering experience and want to contribute toward innovative AI products, we'd love to hear from you.

Qualifications

• 3+ years of data engineering experience.
• Experience with large-scale data structures and ETL processes.
• Deep experience with SQL, data modeling, and warehousing.

Responsibilities

• Set the technical direction for the FAIM data warehouse.
• Architect and operate ETL pipelines and dashboards.
• Integrate telemetry from Amazon's data ecosystem.
• Deliver on OP1/OP2 cycles and ad-hoc executive asks.
• Turn messy data into scalable dimensional models.
• Drive design reviews and set data quality standards.

Skills

SQL fluency

Data modeling

Python

AWS technologies

Data quality automation

Experience in ambiguity

AI-native experience

Tools

Redshift

AWS Glue

S3

Kinesis

Datanet/ETLM

Job description

Description

This is a ground-up, greenfield build — Finance for one of Amazon Ads' newest bets in the agentic space. No legacy pipelines, no inherited dashboards, no pattern to follow. If you're energized by shaping data infrastructure from zero to one inside a fast-moving org, keep reading.

What we're building

• A finance data platform powering the FAIM org (Full-Funnel Agentic Intelligence & Models) — the team building the next generation of agentic AI advertising products
• Pipelines and models that turn raw data into decisions for greenfield products
• Self-service reporting that scales spanning Engineering, Science, PM‑T, and Design across multiple AI native advertising products

This is a startup team within Amazon Ads Finance with an ambitious vision and the runway to build it right the first time.

We're looking for a senior Data Engineer who brings

• Deep SQL fluency and 3+ years architecting and operating production ETL on Redshift, Andes, or equivalent at scale
• Hands‑on depth with the Amazon data stack — Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and QuickSight (SPICE)
• Strong dimensional data modeling judgment — fact/dim design, SCDs, and the experience to make the right denormalization, partitioning, and lifecycle calls without supervision
• Python (or equivalent) for orchestration, data quality automation, and pipeline tooling beyond SQL
• A willingness to set the bar — define data quality, lineage, SLA, and reliability standards for the org and hold the line on them
• The ability to operate in ambiguity — turn open-ended finance and program questions into durable data products with minimal scoping help
• Excitement about leading the data partnership with Finance Managers, PM‑Ts, Scientists, and Engineering, and mentoring more junior engineers as the team grows
• AI‑native experience for automation and defect/opportunity identification using tools such as Kiro, Claude Code, or equivalent

Key job responsibilities

• Own it end-to-end — set the technical direction for the FAIM data warehouse, ETL pipelines, and reporting layer
• Build the tools — architect and operate Datanet/ETLM jobs, Cradle profiles, Andes datasets, and dashboards that finance partners trust as source of truth
• Land the data — integrate telemetry from across Amazon's data ecosystem (Andes subscriptions, EDX, S3, internal services) into a clean, query-ready layer
• Move fast — deliver on OP1/OP2 cycles, MBR/QBR rhythms, and ad‑hoc executive asks with bias for action
• Simplify complexity — turn messy, multi-source data into well-documented dimensional models that scale with the org
• Raise the bar — drive code and design reviews and set data quality and pipeline reliability standards

Basic Qualifications

• 3+ years of data engineering experience
• 1+ years of developing and operating large‑scale data structures for business intelligence analytics using ETL/ELT processes experience
• 1+ years of developing and operating large‑scale data structures for business intelligence analytics using data modeling experience
• 1+ years of developing and operating large‑scale data structures for business intelligence analytics using SQL experience
• Experience with data modeling, warehousing and building ETL pipelines

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non‑relational databases / data stores (object storage, document or key‑value stores, graph databases, column‑family databases)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NY, New York - 145,300.00 - 196,600.00 USD annually

USA, WA, SEATTLE - 132,100.00 - 178,800.00 USD annually