Time since we first saw it
Day 18
Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
Data Infrastructure Engineer [Talents Bench]
Location not stated
Likely evergreen, first seen by us 18 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Contract — employment source
Employment type in the employer’s posting: Contractor
From the employer’s posting
What you’ll work on
Full postingArchitect and deploy open source data systems (Trino, Spark, Pinot, Druid) on Amazon EKS
Manage infrastructure as code using IDEs, Git and strict coding practices
Identify, propose and build bespoke solutions for complex customer environments
Design novel, high-risk solutions that have not been built before
Act as subject-matter expert ensuring builds are well-architected and production-ready
From the employer’s posting
Architect and deploy Open Source Data OSS (Trino, Spark, Pinot, Druid) on Amazon EKS.
utilizing IDEs, Git, and strict coding best practices to manage infrastructure as code.
Navigate complex customer hierarchies and technical landscapes to identify, propose, and implement bespoke solutions.
Design and implement novel, high-risk solutions that have not been previously established.
Act as a subject-matter expert in Open Source technologies, ensuring all builds are well-architected and production-ready.
About Metal Toad
We help our customers to use AI to build the engines of their future growth, aligning AI’s capabilities with their most important business opportunities.
In the employer’s words · Read in context
Posting record
Report an errorLikely evergreenReposted 3 times since Jul 25, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
- Status in our records
- Live
- First seen by us
- Oct 17, 202618 days ago
- Recorded sightings
- 20
- Last seen by us
- Nov 4, 2026
- Reposted
- 3 times since Jul 25, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Metal Toad is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
- 100% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- AWS
- Docker
- Kubernetes
- Spark
- Terraform
- Trino
Where the posting names them
About Metal Toad Metal Toad is a strategic AI partner. We help our customers to use AI to build the engines of their future growth, aligning AI’s capabilities with their most important business opportunities. We are an AWS, Anthropic, and OpenAI partner. Our team includes consultants, software engineers, devops engineers, UX designers, project managers, marketers, and supporting staff. It should go without saying, but everyone working at Metal Toad should be interested in the impact of AI, and believe in a human-first, AI-enabled future.
- Data Foundations: Strong familiarity with Data Lakes, Spark, and Hive architectures. - Versatility: A demonstrated willingness to work with non-AWS and broad Open Source ecosystems. - Soft Skills: High comfort level engaging with complex customer environments and an aptitude for high-stakes technical troubleshooting.
- Kubernetes/EKS: Deep expertise in Kubernetes and Amazon EKS is a must-have. - Core Infrastructure Tooling: Proficiency in Terraform, Helm, Docker, and Karpenter. - Data OSS Expertise: Minimum rating of 3 (on a 5-point scale) in deploying and managing Data OSS software, including Trino, Spark, or Pinot.
- Advanced to fluent English communication skills are essential for this role. - Kubernetes/EKS: Deep expertise in Kubernetes and Amazon EKS is a must-have. - Core Infrastructure Tooling: Proficiency in Terraform, Helm, Docker, and Karpenter.
Key Responsibilities - Infrastructure Implementation: Architect and deploy Open Source Data OSS (Trino, Spark, Pinot, Druid) on Amazon EKS. - Hands-on Development: Maintain a 100% hands-on approach, utilizing IDEs, Git, and strict coding best practices to manage infrastructure as code.
- Core Infrastructure Tooling: Proficiency in Terraform, Helm, Docker, and Karpenter. - Data OSS Expertise: Minimum rating of 3 (on a 5-point scale) in deploying and managing Data OSS software, including Trino, Spark, or Pinot. - Data Foundations: Strong familiarity with Data Lakes, Spark, and Hive architectures.
Job Description We are looking for a highly technical, hands-on Data Infrastructure Engineer to join our team. This is not a standard Data Engineering role; instead, you will focus on building robust, scalable Data Infrastructure platforms using Open Source software. Your primary mission is to deploy and manage high-performance data technologies—such as Apache Pinot, Apache Druid, and Trino—within a well-architected Amazon EKS environment. You will work on pioneering, high-risk technical solutions, navigating complex customer environments to deliver cutting-edge infrastructure that pushes the boundaries of standard implementations.
Your next step
Complete your application on metaltoad.bamboohr.com. The employer’s form will show what is required.
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Has Metal Toad posted this job before?
Yes. We’ve followed 2 other Data Infrastructure Engineer [Talents Bench] jobs there since July 2026. 2 came down, usually after about 26 days.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
About Metal Toad
Metal Toad is a strategic AI partner. We help our customers to use AI to build the engines of their future growth, aligning AI’s capabilities with their most important business opportunities. We are an AWS, Anthropic, and OpenAI partner.
Our team includes consultants, software engineers, devops engineers, UX designers, project managers, marketers, and supporting staff. It should go without saying, but everyone working at Metal Toad should be interested in the impact of AI, and believe in a human-first, AI-enabled future.
To apply for this position, please submit your resume in English as a PDF.
Job Description
We are looking for a highly technical, hands-on Data Infrastructure Engineer to join our team. This is not a standard Data Engineering role; instead, you will focus on building robust, scalable Data Infrastructure platforms using Open Source software. Your primary mission is to deploy and manage high-performance data technologies—such as Apache Pinot, Apache Druid, and Trino—within a well-architected Amazon EKS environment.
You will work on pioneering, high-risk technical solutions, navigating complex customer environments to deliver cutting-edge infrastructure that pushes the boundaries of standard implementations.
Responsibilities
Key Responsibilities
- Infrastructure Implementation: Architect and deploy Open Source Data OSS (Trino, Spark, Pinot, Druid) on Amazon EKS.
- Hands-on Development: Maintain a 100% hands-on approach, utilizing IDEs, Git, and strict coding best practices to manage infrastructure as code.
- Problem Solving: Navigate complex customer hierarchies and technical landscapes to identify, propose, and implement bespoke solutions.
- Pioneering Work: Design and implement novel, high-risk solutions that have not been previously established.
- Collaboration: Act as a subject-matter expert in Open Source technologies, ensuring all builds are well-architected and production-ready.
QUALIFICATIONS REQUIRED
- Agree with our Corporate Values Statement.
- Believes in the company's mission: to help people.
- Believes in the principles of open source.
- Advanced to fluent English communication skills are essential for this role.
- Kubernetes/EKS: Deep expertise in Kubernetes and Amazon EKS is a must-have.
- Core Infrastructure Tooling: Proficiency in Terraform, Helm, Docker, and Karpenter.
- Data OSS Expertise: Minimum rating of 3 (on a 5-point scale) in deploying and managing Data OSS software, including Trino, Spark, or Pinot.
- Data Foundations: Strong familiarity with Data Lakes, Spark, and Hive architectures.
- Versatility: A demonstrated willingness to work with non-AWS and broad Open Source ecosystems.
- Soft Skills: High comfort level engaging with complex customer environments and an aptitude for high-stakes technical troubleshooting.
NICE TO HAVE
- Prior hands-on experience working with Fruitstand.
- Demonstrated history of contributing to or managing complex open-source projects in production environments.
Source details
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