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Contract Data Center Capacity Engineer Jobs (NOW HIRING)

Meta

Supply Chain Capacity Engineer

Fremont, CA

$154K/yr

Supply Chain Capacity Engineer Responsibilities: * Own infrastructure supply chain planning and ... Experience with data center infrastructure supply chains, including server hardware, networking ...

Meta

Supply Chain Capacity Engineer

Menlo Park, CA · On-site

$154K/yr

Supply Chain Capacity Engineer Responsibilities: * Own infrastructure supply chain planning and ... Experience with data center infrastructure supply chains, including server hardware, networking ...

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All JobsContract Data Center Capacity Engineer Jobs

Contract Data Center Capacity Engineer information

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$51.5K

$147.5K

$197K

How much do contract data center capacity engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for contract data center capacity engineer in the United States is $147,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $196,000.00 per year, depending on experience, location, and employer.

What is the difference between Contract Data Center Capacity Engineer vs Data Center Operations Technician?

AspectContract Data Center Capacity EngineerData Center Operations Technician
CertificationsData center or network certifications (e.g., CCNA, CDCP)Technical certifications (e.g., CompTIA A+, Data Center certifications)
Work EnvironmentPlanning, analysis, and capacity management in data centersHands-on maintenance, troubleshooting, and daily operations
Primary FocusOptimizing data center capacity and infrastructure planningEnsuring operational uptime and hardware support

The Contract Data Center Capacity Engineer primarily focuses on capacity planning, infrastructure analysis, and optimizing data center resources. In contrast, the Data Center Operations Technician handles daily hardware maintenance, troubleshooting, and operational support. Both roles are essential in data center environments but differ in scope and responsibilities.

More about Contract Data Center Capacity Engineer jobs
What cities are hiring for Contract Data Center Capacity Engineer jobs? Cities with the most Contract Data Center Capacity Engineer job openings:
What are the most commonly searched types of Data Center Capacity Engineer jobs? The most popular types of Data Center Capacity Engineer jobs are:
What states have the most Contract Data Center Capacity Engineer jobs? States with the most job openings for Contract Data Center Capacity Engineer jobs include:
What job categories do people searching Contract Data Center Capacity Engineer jobs look for? The top searched job categories for Contract Data Center Capacity Engineer jobs are:
Contract Data Center Capacity Engineer jobs near you
Infographic showing various Contract Data Center Capacity Engineer job openings in the United States as of June 2026, with employment types broken down into 48% Full Time, 26% Part Time, and 26% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $147,461 per year, or $70.9 per hour.
Data Engineer, Data Center Capacity Delivery

Data Engineer, Data Center Capacity Delivery

Amazon

Seattle, WA

Full-time

Posted 9 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,863 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job 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.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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