Sign upLog in

Data Engineer, Data Center Capacity Delivery

Amazon

Seattle, WA

Apply
JOB DETAILS
SKILLS
AWS Lambda, Access Control, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Best Practices, Business Analysis, Business Development, Cadence, Computer Engineering, Construction Engineering, Construction Support, Cryptography, Data Analysis, Data Compression, Data Description Language (DDL), Data Lake, Data Management, Data Modeling, Data Partitioning, Data Storage, Data Warehousing, Database Extract Transform and Load (ETL), Develop Methodologies, Distributed Computing, Documentation, Electronic Medical Records, Engineering, Information/Data Security (InfoSec), Interface Programming Languages, Java, MCP - Microsoft Certified Professional, Metadata, Multiplatform/Cross-Platform, Network Architecture/Engineering, Network Operations Center, Node.js, Operations Management, Problem Solving Skills, Process Improvement, Python Programming/Scripting Language, Relational Databases (RDBMS), Requirements Management, Resolve Customer Issues, SQL (Structured Query Language), Safety Standards, Scala Programming Language, Scripting (Scripting Languages), Simple Queue Service (SQS), Software Development, Software Engineering
LOCATION
Seattle, WA
POSTED
30+ days ago
Description AWS Data Center Capacity Delivery (DCCD) is looking for a Data Engineer to support data center construction globally. We work on the most challenging problems, with thousands of variables impacting the data center delivery - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, construction specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. You'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. We're looking for a Data Engineer to help us grow our Data Lake and Data Warehouse Systems, built on a serverless architecture with 100% native AWS components including Redshift Spectrum, Athena, S3, Lambda, Glue, EMR, Kinesis, SNS, CloudWatch, and more. We own a world-class data lake that drives multi-billion dollar decisions on a regular cadence, and we're looking to improve on filling the lake quickly with as little human intervention as possible while democratizing the data within it. In this role, you'll also help shape the next generation of our analytics platform by building agentic AI solutions and MCP (Model Context Protocol) servers that enable intelligent, autonomous data workflows. This includes designing AI-driven agents that can discover, query, and reason over our data lake - putting self-service analytics capabilities directly in the hands of stakeholders without requiring manual pipeline orchestration. Our Data Engineers build ETL, analytics, and Gen AI-powered solutions for our internal customers to answer questions with data and drive critical improvements for the business. This includes building agentic AI workflows and MCP servers that put self-service analytics directly in stakeholders' hands. Our Data Engineers use best practices in software engineering, data management, data storage, data compute, and distributed systems. We are passionate about solving business problems with data! Key job responsibilities Develop and maintain automated ETL pipelines (with monitoring) using scripting languages such as Python, Spark, SQL and AWS services such as S3, Glue, Lambda, SNS, SQS, KMS. Design and build MCP servers and agentic AI workflows that enable autonomous data discovery, querying, and self-service analytics over our data lake. Develop and integrate LLM-based solutions (e.g., Amazon Bedrock) to power natural language interfaces and intelligent automation across our analytics platform Implement and support reporting and analytics infrastructure for internal business customers. Develop and maintain data security and permissions solutions for enterprise scale data warehouse and data lake implementations including data encryption and database user access controls and logging. Develop data objects for business analytics using data modeling techniques. Develop and optimize data warehouse and data lake tables using best practices for DDL, physical and logical tables, data partitioning, compression, and parallelization. Develop and maintain data warehouse and data lake metadata, data catalog, and user documentation for internal business customers. Work with internal business customers and software development teams to gather and document requirements for data publishing and data consumption via data warehouse, data lake, and analytics solutions. 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 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. 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 - 132,100.00 - 178,800.00 USD annually

About the Company

A

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Other/Not Classified
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles