Data Engineer

Data Engineer

This job is no longer open

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At Zappos, we look for people who will show up as their whole self because we value diversity and inclusion, as well as people who enjoy fun and maybe even a little weirdness. So be sure to check on whether you’re aligned with our company values and culture. If you think you can see yourself delivering WOW as a member of the Zappos family, then check out the job description below!

Company Culture is at Our Core

Our 10 Core Values are more than just words, they're a way of life. We know that companies with a strong culture & a higher purpose perform better in the long run. 
Do our values speak to you?

1. Deliver WOW Through Service
2. Embrace and Drive Change
3. Create Fun and A Little Weirdness
4. Be Adventurous, Creative, and Open-Minded
5. Pursue Growth and Learning
6. Build Open and Honest Relationships With Communication
7. Build a Positive Team and Family Spirit
8. Do More With Less
9. Be Passionate and Determined
10. Be Humble

Company Perks: Quick Reference

  • Zappos pays 100% of every employee’s medical, dental, and vision benefits.

  • Zappos pays 100% of 12 therapy, mental health, or coaching session annually.

  • A multitude of benefits and incentives to stay mentally and physically healthy and fit.

  • Meaningful assistance programs like professional development, mentoring, and 401k with employer contribution.

  • Paid time off for life, vacations, staycations, and rest.

  • A generous Zapponian discount program.

  • Make an impact through volunteer adventures and other community programs.

  • Want to have some fun, too? Yes, please! Enjoy team building, family spirit, and plenty of room to recharge!

Zapponian [noun| employee of Zappos]. You are self-motivated. You think like an entrepreneur, constantly innovating and driving positive change, but more importantly, you consistently deliver mind-boggling results.

Bold [adjective| not afraid of anything]. A role at Zappos is an opportunity to be a part of something different. To go bold. We’re a company that isn’t afraid to take risks and question the status quo. Oh yeah, we like to have fun too.

Perks [noun| the good stuff you get for working hard]. Zappos pays 100% of your medical, dental and vision premiums. Primary care visits, dental exams, eye exams and generic prescriptions are all free. Plus matching 401k, life coaches, orthodontic benefits, and more. And don’t forget, an unlimited 40% Zappos.com discount.

1990s [noun| a decade we love, but no longer live in]. Old school cover letters are so 1990. Want to show us who you really are? Create a video cover letter. A flash mob, a comedic monologue… whatever showcases your passion for Zappos and the work you’d be doing! Videos are not required, but if you create it, we’ll watch it.

Scout [noun| you're a recruiter, too]. As a Zapponian, we’ll ask that you always keep your eye out for great talent to join our family. Consider yourself an extension of the recruiting team, scouting for the best people to grow our company.

SUMMARY

As a Data Engineer at Zappos, you will play a crucial role in designing, developing, and maintaining our data infrastructure. You will work closely with cross-functional teams to ensure that data is collected, processed, and made available for analysis, reporting, and machine learning applications. Your expertise in data pipelines, ETL processes, and data warehousing will be instrumental in shaping our data ecosystem. The right candidate will be excited by the opportunity to redesign our company’s data architecture to support our next generation of data initiatives.  

WHAT YOU WILL BE DOING

  • Design, build, and maintain robust data  pipelines to acquire, process, and store data from various sources such as  databases, APIs, and external data providers.

  • Develop and optimize ETL (Extract,  Transform, Load) processes to clean, enrich, and structure raw data into a  usable format for analysis and reporting.

  • Implement and manage data warehousing  solutions to ensure efficient data storage, retrieval, and query  performance.

  • Establish data quality standards, perform  data validation, and proactively identify and address data quality issues.

  • Optimize data pipelines and storage  solutions to handle large volumes of data while maintaining high  performance and reliability.

  • Ensure data privacy and security by  implementing access controls, encryption, and compliance with data  protection regulations.

  • Collaborate with data scientists,  analysts, and other stakeholders to understand data requirements and  provide the necessary data infrastructure to support their needs.

  • Maintain comprehensive documentation for  data pipelines, data models, and processes to facilitate knowledge sharing  and troubleshooting.

  • Implement monitoring solutions to  proactively detect and address data pipeline failures or performance  bottlenecks.

  • Keep abreast of industry trends and  emerging technologies in data engineering to recommend and implement  improvements to our data infrastructure.

WHAT YOU BRING TO THE TABLE

  • At lest five (5) years of experience in Data Engineering, Software Development, or Business Intelligence roles.

  • Expertise in data normalization and dataset modeling.

  • Proficiency in SQL and one or more programming languages (e.g., Python, Java) used in data processing.

  • Experience in maintaining datasets, data pipelines, and platforms for reporting and access by a variety of business users at various technical and non-technical levels.

  • Strong problem-solving skills and the ability to troubleshoot complex technical issues.

  • Excellent communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders.

  • Experience with data visualization tools  (e.g., AWS QuickSight, Tableau, PowerBI)

WHAT REALLY EXCITES US

  • Bachelor's degree in Computer Science or related field.

  • Proficiency in AWS cloud services and tools, including but not limited to AWS Redshift, AWS Glue, AWS Data Pipeline, AWS Lambda, and Amazon S3.

  • Experience with columnar database engines and NoSQL database technology.

The base pay range for this position is $154,000 to $174,000 per year; however, base pay offered may vary depending on job-related knowledge, skills, and experience.  In addition, a full range of medical and other benefits is offered.

The Fine Print


The Zappos Family of Companies is committed to Equal Employment Opportunity regardless of race, color, national origin, gender, sexual orientation, age, religion, veteran status, disability, history of disability or perceived disability. If you need assistance or an accommodation due to a disability, you may email us at recruiting@zappos.com or call us at 1.702.943.7777.

To all recruitment agencies: We do not accept unsolicited agency resumes and are not responsible for any fees related to unsolicited resumes.

This job is no longer open
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