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Senior Data Engineer, AWS Analytics Engineering

Amazon Development Center U.S., Inc.

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What engineering roles keep asking for: AWS (17%), Python (13%) — counted across their open postings here.

Data Engineer jobs in the United States · Data Engineer jobs in Seattle · Remote Data Engineer jobs · AWS jobs · Data modelling jobs · ETL jobs · Hadoop jobs

Amazon Development Center U.S., Inc. has 550 open roles listed here.

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Preparing for this interview

Interviews for engineering roles keep coming back to AWS, Python. Practise those questions before you sit with Amazon Development Center U.S., Inc..

Questions you are likely to be asked

  1. Why do you want to join Amazon Development Center U.S., Inc.?
  2. What is your experience with AWS? Tell me one thing you learned the hard way.
  3. How did you know your model was actually good, and not just good on your test set?
  4. Tell me about a time the data was messy or wrong. What did you do?
  5. How would you explain your model's result to someone who is not technical?

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Practise the Senior Data Engineer, AWS Analytics Engineering at Amazon Development Center U.S., Inc. interview free →

The AWS Analytics Engineering (AAE) organization is the analytics backbone of AWS — we build and operate the data platform that powers business decisions across more than 150 AWS services. Every insight Basic qualifications: - 7+ 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 MPP databases such as Amazon Redshift - Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets Preferred: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience operating large data warehouses - Experience providing technical leadership and mentoring other engineers for best practices on data engineering - Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent - Knowledge of distributed systems as it pertains to data storage and computing 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 154,600.00 - 209,100.00 USD annually

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Listed on amazon · posted 2026-08-31. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Development Center U.S., Inc., not by us.