Sr. Data Engineer, Social Marketing

• 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 mentoring team members on best practices

The Social Marketing team owns Amazon’s automated advertising on social media apps like Facebook, Instagram, SnapChat, Pinterest, TikTok, and more. We own data pipelines that ingests and processes TBs of different metrics from social media apps and various Amazon data stores, to provide meaningful social ad performance data via live and offline reporting infrastructure. As these data pipelines are the backbone of all our engineering systems making targeting and optimization decisions, in this role you will have an opportunity to scale these big data systems to new KPIs and social apps, while innovating on data quality automation and adhering to the changing privacy laws.
We are seeking a Senior Data Engineer to join our team in our Seattle headquarters and help build the reporting spine for the social advertising platform that will power large scale advertising programs on multiple social media apps. Successful candidates must be innovative, have strong customer obsession, and be able to work collaboratively with cross-functional marketing, finance, business intelligence, and software development teams to solve critical business problems.
Key job responsibilities

• Design, develop, and maintain production data pipelines, meeting data and privacy standards
• Develop robust and scalable data and insight platforms using SQL and Spark
• Support analytical researches and provide recommendations to business challenges
• Continually improve the data quality and operations, via automation and building full CI/CD data pipelines
• Develop and influence the teams' data strategy and data storage roadmap, by closely working with business stakeholders

We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience operating large data warehouses

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $123,700/year in our lowest geographic market up to $240,500/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.

Health insurance