Data Engineer, Amazon Customer Service

Lensa; Austin (TX); On-site; USD 118,000 - 206,000; Full time

Job summary

A leading technology company seeks a Data Engineer passionate about big data technologies. In this role, you will develop and maintain scalable data pipelines, working closely with software developers, scientists, and managers. Ideal candidates will have strong experience in data modeling and a keen understanding of AWS technologies.

Benefits

Medical, Dental, and Vision Coverage

Maternity and Parental Leave Options

Paid Time Off (PTO)

401(k) Plan

Qualifications

• 3+ years of data engineering experience.
• Experience in SQL and building ETL pipelines.
• Experience with big data technologies.

Responsibilities

• Develop scalable and maintainable data pipelines.
• Oversee existing data ingestion and processing systems.
• Collaborate with cross-functional teams.

Skills

Data modeling

ETL pipelines

SQL

Python

Spark/Hive

Tools

AWS technologies

Redshift

S3

EMR

Job description

2 days ago Be among the first 25 applicants

Lensa partners with DirectEmployers to promote this job for Amazon.

Description

Amazon is looking for a Data Engineer with Big data experience to join the Customer Service, Worldwide Defect Elimination (WWDE) Organization.

The Worldwide Defect Elimination (WWDE) team relentlessly focuses on maintaining customer trust by building products that offer appropriate resolutions to resolve issues faced by our customers. WWDE engineers solve complex problems and build scalable, robust solutions to help our customers navigate through issues and eliminate systemic defects to prevent future issues.

As a Data Engineer, the ideal candidate 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. This candidate should have 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 both overseeing existing pipelines as well as developing brand new ones for machine learning (ML).

The operating environment is fast paced and dynamic, however has a strong team spirit and welcoming culture. To thrive, the ideal candidate must be detail oriented, enthusiastic and flexible, in return they will gain tremendous experience with the latest in big data technologies as well as exposure (as desired) to statistical and Natural Language modeling through collaboration with scientists on global issue detection models and development.

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!

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

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

About The Team

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 representing the “empty chair,” empowering CS and Amazon teams to easily measure, listen, and act on customer feedback, ultimately provide a defect-free customer experience. This key role is part of the team that broadly supports defect detection Voice of Customer (VoC), root cause identification and resolution (Andon Cord), and earns back customer trust (Concession). We support these services with a combination of engineering and science.

Basic Qualifications

• 3+ 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 building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
  
  

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)
  
  

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

If you have questions about this posting, please contact [e-mail]

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Temporary

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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