Data Engineer

We need your help to ensure that the voice of the customer comes through in data-driven Customer Experience Impact (CXI) metrics. As a Data Engineer, you will partner with Software Developers, Business Intelligence Engineers, Scientists, and Program Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data. As the ideal candidate, you will have a strong business judgment, a good sense of architectural design, written/documentation skills, and experience with big data technologies (Spark/Hive, Redshift, EMR, +Other AWS technologies).

This role involves overseeing existing pipelines as well as developing brand new ones for machine learning (ML). The operating environment is fast paced and dynamic with a supportive culture. To thrive, you must be detail oriented, enthusiastic, and insist on high standards. In return, you will gain tremendous experience with the latest in big data technologies and science models.

A day in the life

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

Benefits

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

About the team

The Worldwide Defect Elimination (WWDE) team's mission is to understand and resolve all issues impacting customers at scale. WWDE is an organization within Amazon Customer Service (CS) that innovates with technology to remove friction in connecting organizations to customer experiences. Our vision is to be the ultimate steward of the Voice of the Customer (VoC), empowering CS and Amazon teams to easily measure, listen, and act on customer feedback. The team broadly supports defect detection (VoC) and root cause identification and resolving (Andon Cord) to re-gain customer trust (Concession). We support these services with a combination of engineering and science. The Customer Service Economics & Optimization team is a force multiplier within this group, helping to understand the impact of customer issues, changes to our policies, and optimizing the customer experience through causal analysis of data.

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)
• Master's degree

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. 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 here for more information.

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.