Data Engineer, Amazon Ads Identity (AIP)

Mid • On-site

$118,900 - $205,600/yr

New York, NY , +1

DESCRIPTION

Are you interested in working with the core Amazon Advertising teams and collaborating with ad tech partners to spearhead innovation and deliver Identity solutions for our customers? Join us in building the next generation of Identity products and services that will fuel the growth of Amazon's advertising business. Working closely with scientists, we develop novel solutions that deliver highly relevant ads and optimize match rates through advanced identity building and resolution.

You'll drive technology choices, lead continuous innovation, and shape the future of Amazon Ads worldwide, making a significant impact on our advertising vision. We're seeking self-driven and talented engineers to design and develop identity constructs, models and resolution systems that operate at internet-scale with optimized latency and ops cost to drive Amazon's revenue.

As a Data Engineer in Amazon Ads Identity, you will architect and build a robust data fabric that powers our advertising solutions. The ideal candidate will lead the development of a unified and automated data orchestration layer, establish comprehensive data dictionaries and models, data cataloging, data monitoring, data quality, implement best data practices and create a feature repository for modeled identity solutions. This is a strategic role created in response to our team's growing needs in handling worldwide internet-scale identity signals, which we leverage to develop sophisticated identity constructs and models.

Key job responsibilities
In this role, you will:
• Partner with our experienced scientists to build and experiment with ML models in production
• Solve complex distributed systems and ad-serving challenges at massive scale
• Collaborate with senior engineers and scientists to develop innovative ad identity products
• Work cross-functionally with Product, Business Development, and partner teams on technical design and project planning
• Drive data-driven decisions for product prioritization
• Leverage emerging AWS technologies for AdTech solutions
• Think innovatively and bring creative solutions to complex problems

Tech Stack:
• Apache Spark
• AWS CDK
• Python
• Amazon EMR
• Apache Airflow
• Internal data tools like Craddle, Andes etc.

Growth Opportunity:
As one of the founding Data Engineers in our team, you'll help establish and shape our data engineering practices while working with internet-scale identity signals and industry-standard identity resolution technologies.

A day in the life
You will work collaboratively both within and outside of the Advertising team. As a Data Engineer, you would spend most of your time architecting, designing and implementing and the rest in collaboration and discussion. Since our team is in US East and West coast, we also like to have fun by taking time to celebrate each other and to spend time with remote happy hours.

BASIC QUALIFICATIONS

- 4+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Proven experience handling distributed big data scale & compute environments
- Strong background in data fabric architecture and orchestration
- Experience with establishing data dictionaries, models, cataloging, monitoring, and quality
- Expertise in building and maintaining feature repositories
- [Plus] Experience with identity-related data modeling and processing
- Track record of implementing robust data governance and documentation
- Tech Stack: Apache Spark, AWS CDK, Python, SQL, Amazon EMR, Apache Airflow, Athena, RedShift, Iceberg and (for internal candidates - experience with Andes, Craddle etc)

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)
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon

Amazon.com, Inc. founded in 1994 by Jeff Bezos in the cozy confines of his Seattle garage, Amazon.com, Inc. quickly evolved from a humble online bookstore to a colossal e-commerce powerhouse. Today, it offers an extensive range of products from DVDs and electronics to furniture and groceries. With a global footprint that spans continents—from Canada and the UK to Japan and Brazil—Amazon's presence is truly international. The company has not only diversified into various domains, including acquiring Twitch in 2014 and venturing into the film industry in 2015, but also introduced initiatives like the brand registry program to safeguard intellectual property. Despite the hurdles of labor relations and competitive practices, Amazon remains a dominant force in the global e-commerce landscape.