Amazon Advertising is seeking a Data Engineer to help us accelerate our efforts in delivering technology and insights capabilities for the Marketing Finance team.

This role will influence the direction of the business by translating broad business problems into specific analytics projects, building and maintaining data pipelines, datasets, conducting quantitative analyses, and communicating results effectively. This individual will help drive scalable robust management of datasets and pipelines to assist Business and Finance leadership with decision-making. As a key data engineering partner, this candidate will have significant exposure to Advertising Finance Managers, and require partnership with a broad set of teams including finance, product, sales, operations, and technology. We see a high potential for growth in the role as we transform our data into actionable insights to continue to fuel the growth of our business partners.

The successful candidate will have a top analytical mind capable of understanding our complex ecosystem of advertisers, and be a self-starter comfortable with ambiguity, with strong attention to detail, and with an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to take on technically challenging projects and delivering results is a must.


Key job responsibilities
- Building data pipelines using SQL, Scala, PySpark & Python
- Working with AWS BigData technologies such as Glue, S3, Redshift
- Building solutions that monitor the quality of data in our pipelines (including anomaly detection)
- Working with customers to understand the business context of new features
- Participating in design reviews and consulting with engineering peers
- Participating in operational support for our products, and drive reliability and process improvements
- Optimizing the performance of pipelines using metrics
- Designing and implementing complex pipelines and other Data Engineering solutions.


- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

- 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.

Pursuant to the San Francisco 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 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.