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Data Engineer, Amazon Ads

New York, NY

$125K - $150K/yr

We're looking for a senior Data Engineer who brings: - Deep SQL fluency and 5+ years architecting ... with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and ...

Amazon

Data Engineer, Amazon Ads

New York, NY

$125K - $150K/yr

We're looking for a senior Data Engineer who brings: - Deep SQL fluency and 5+ years architecting ... with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and ...

Kavaliro

SQL Database Administrator

FL · On-site

$43.50 - $54.50/hr

Senior SQL Database Administrator (SQL DBA) Overview We are seeking a highly skilled Senior SQL ... Manage and support cloud-based database solutions in Microsoft Azure and Amazon Web Services (AWS)

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How much do amazon sql jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for amazon sql in the United States is $64.42, according to ZipRecruiter salary data. Most workers in this role earn between $57.69 and $73.56 per hour, depending on experience, location, and employer.

What is an Amazon SQL job?

An Amazon SQL job typically involves working with Amazon's database services, such as Amazon RDS, Redshift, or DynamoDB, to manage and optimize data storage, retrieval, and analysis. Professionals in this role use SQL to write queries, design schemas, and ensure database performance and security. These jobs are commonly found in data engineering, database administration, and business intelligence roles at Amazon or companies using AWS databases. Skills in SQL, AWS services, and data modeling are often required.

What are the key skills and qualifications needed to thrive in the Amazon Sql position, and why are they important?

To thrive in an Amazon SQL role, you need strong proficiency in SQL programming, database design, and data analysis, usually backed by a degree in computer science or a related field. Experience with Amazon Web Services (AWS) data tools such as Amazon RDS, Redshift, and related cloud-based database management systems is highly valuable, along with certifications like AWS Certified Data Analytics. Analytical thinking, attention to detail, and effective communication are important soft skills for gathering requirements and presenting data insights. These capabilities enable you to efficiently manage large datasets, ensure data integrity, and drive data-driven decisions in a fast-paced e-commerce environment.

What are the typical responsibilities of an Amazon SQL specialist on a data engineering team?

As an Amazon SQL specialist, you’ll typically be responsible for designing, writing, and optimizing complex SQL queries, maintaining and monitoring AWS-hosted databases, and supporting data integration workflows. You may also collaborate closely with data engineers, analysts, and business stakeholders to ensure data accessibility and support reporting needs. On a daily basis, you could be troubleshooting database issues, implementing data quality checks, automating routine data tasks, and helping to implement best practices for data security and compliance. The role is dynamic, requiring both independent problem-solving and cross-functional teamwork in a collaborative, cloud-centric environment.

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Amazon Sql jobs near you
Infographic showing various Amazon Sql job openings in the United States as of May 2026, with employment types broken down into 64% Full Time, and 36% Contract. Highlights an 93% In-person, and 7% Hybrid job distribution, with an average salary of $134,000 per year, or $64.4 per hour.
Data Engineer, Amazon Ads

Data Engineer, Amazon Ads

Amazon

New York, NY

$125K - $150K/yr

Full-time

Posted 5 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,828 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job 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 5+ 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

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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