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Data Center Capacity Engineer Jobs (NOW HIRING)

Amazon

Data Engineer, Data Center Capacity Delivery

Seattle, WA · On-site

$130.30K - $156.50K/yr

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 ...

Meta

Supply Chain Capacity Engineer

Menlo Park, CA

$154K/yr

Meta is seeking a Supply Chain Engineer to join the Infrastructure Supply Chain and Engineering ... data center capacity, and cutting-edge technology including advanced AI. Supply Chain Capacity ...

Meta

Supply Chain Capacity Engineer

Fremont, CA

$154K/yr

Meta is seeking a Supply Chain Engineer to join the Infrastructure Supply Chain and Engineering ... data center capacity, and cutting-edge technology including advanced AI. Supply Chain Capacity ...

Bridge Core (BCore)

Data Center Engineer

Mclean, VA

Advanced understanding of capacity planning and forecasting data center resource utilization ... Data Center Engineering Specialist (DCES) * Data Center Infrastructure Expert (DCIE) * Ability to ...

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

As of May 29, 2026, the average yearly pay for 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 a Data Center Capacity Engineer job?

A Data Center Capacity Engineer is responsible for ensuring that a data center has the necessary infrastructure, space, power, and cooling capacity to support current and future computing needs. They analyze usage trends, forecast capacity requirements, and collaborate with teams to optimize resource utilization. Their work helps prevent capacity shortages, reduces operational risks, and improves efficiency in data center operations.

What are the key skills and qualifications needed to thrive in the Data Center Capacity Engineer position, and why are they important?

A Data Center Capacity Engineer requires expertise in infrastructure planning, systems analysis, and data center operations, often supported by a degree in engineering or a related field. Familiarity with tools such as DCIM (Data Center Infrastructure Management) software, power usage effectiveness (PUE) metrics, and certifications like Uptime Institute or BICSI are commonly expected. Strong problem-solving abilities, project management skills, and effective communication are essential soft skills in this role. These competencies ensure efficient capacity planning, minimize downtime, and support scalable data center growth in dynamic environments.

What are the typical daily responsibilities of a Data Center Capacity Engineer?

As a Data Center Capacity Engineer, your day-to-day responsibilities include monitoring and analyzing current resource utilization, forecasting future power, cooling, and space requirements, and coordinating with operations, facilities, and IT teams to ensure optimal infrastructure performance. You will frequently assess trends, create reports, and recommend upgrades or adjustments to maximize efficiency. Collaboration across teams to plan for large-scale deployments or migrations is common, as is troubleshooting capacity-related issues as they arise. This role requires balancing technical analysis with cross-departmental communication to ensure data center operations align with organizational growth and reliability goals.
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Data Center Capacity Engineer jobs near you
Infographic showing various Data Center Capacity Engineer job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% 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 20 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,784 frontline employees who took The Breakroom Quiz

7th 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

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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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