Data Engineer - Fire TV Data Science & Analytics*, FireTV

- 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
- 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.

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 $139,100/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.
Are you excited about applying your data engineering skills in a top-tier business impacting millions of customers?

Our Fire TV mission is to make watching TV effortless and fun for customers to enjoy all of their entertainment, so it becomes part of their daily habit for relaxing, being entertained, and spending time with family and friends.

Fire TV is the #1 best-selling streaming media player in the U.S. Our mission is to make watching TV effortless and fun for customers. The staggering amount of data we process from multiple sources to work towards achieving our mission of requires the skills of an experienced and motivated Data Engineer. The successful candidate will work in our Data Science & Analytics team to help set new standards in data processing capability and data availability for our Device Sales & Customer Engagement business units. You’ll be working with Amazon-scale Big Data stored in a variety of locations including data lakes, Redshift clusters and cloud storage, helping us to bring in new datasets that will further inform our business decisions. You’ll do this while maintaining the highest levels of data accuracy, integrity and privacy, allowing us to explore new ways to engage and delight our customers and continue our success.


Your opportunities with our team will include:
- Working with multiple stakeholders and a variety of tools across Amazon to apply best-practice processing for very large volumes of data
- Administering our AWS-based infrastructure
- Analyzing, improving and maintaining the performance of our data infrastructure
- Designing and implementing solutions to ensure compliance with the latest privacy laws & regulations
- Developing custom tools to enhance regular workflows for analysts, BIEs, Data Scientists and managers
- Defining and enforcing stringent data quality standards