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Data Compute Jobs in Iowa (NOW HIRING)

... compute model selection, multi-workspace vs multi-catalog trade-offs). Experience working within a federated data governance or data mesh operating model. PLATFORM STAFFING GROUP, an STA Group ...

Accounting Specialist

Ottumwa, IA · On-site

$22.39 - $29.11/hr

Data collection and interpretation; * Basic budgeting principles; * Computers and related software applications; * Collect and compute mathematical information; * Read, analyze and interpret ...

The intern will compute, classify, and record numerical data to keep financial records complete; perform any combination of routine calculating, posting, and verifying duties to obtain primary ...

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Data Compute information

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

To thrive as a Data Compute professional, you need strong analytical abilities, expertise in data processing, and a relevant degree in computer science, statistics, or a related field. Familiarity with big data platforms (such as Hadoop or Spark), programming languages like Python or SQL, and certifications in cloud computing or data analytics are commonly expected. Attention to detail, problem-solving aptitude, and effective communication are crucial soft skills in this position. These skills are vital for ensuring accurate data interpretation, optimizing compute resources, and collaborating efficiently with other teams.

What are the typical daily responsibilities of someone in a Data Compute role?

In a Data Compute role, your daily tasks may include designing and monitoring data pipelines, running large-scale data processing jobs, and maintaining the integrity and performance of compute infrastructure. You'll frequently collaborate with data scientists, engineers, and analysts to ensure datasets are accessible and optimized for analysis. Troubleshooting data processing bottlenecks, implementing automation solutions, and optimizing cloud or on-premises resources are also common aspects of the job. This role involves a mix of hands-on technical work and strategic planning to support data-driven decision-making across the organization.

What is a Data Compute job?

A Data Compute job involves managing and optimizing computational resources for processing large datasets. Professionals in this role work with cloud platforms, distributed computing frameworks, and high-performance computing (HPC) systems to ensure efficient data processing. They collaborate with data engineers and scientists to enhance performance, scalability, and cost-effectiveness of computational workloads.

What are popular job titles related to Data Compute jobs in Iowa? For Data Compute jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Data Compute jobs in Iowa look for? The top searched job categories for Data Compute jobs in Iowa are:
What cities in Iowa are hiring for Data Compute jobs? Cities in Iowa with the most Data Compute job openings:
Infographic showing various Data Compute job openings in Iowa as of May 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Sr Software Engineer-Infrastructure

Sr Software Engineer-Infrastructure

Berkshire Hathaway Energy

Des Moines, IA • On-site

$105K - $143K/yr

Full-time

Posted 3 hours ago


Berkshire Hathaway Energy rating

6.5

Company rating: 6.5 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

We are building a modern, softwaredefined infrastructure platform designed to support the next generation of applications across the organization.

This platform is designed around open-source technologies, commodity hardware, and automation-first principles. It provides the core compute, storage, networking, and container runtime capabilities required to run distributed systems at scale across both data centers and cloud environments. 

This is a greenfield engineering effort focused on defining how infrastructure is built and operated using code, APIs, and declarative systems, with reliability, observability, and repeatability designed in from the start.

Our approach emphasizes: 

  • Linux-first systems design 
  • Kubernetes as a core abstraction layer 
  • Infrastructure-as-code and GitOps workflows 
  • Open observability standards (Prometheus, OpenTelemetry) 
  • Distributed, software-defined storage and networking  

Engineers on this team build and own foundational systems that applications across the organization rely on for secure, reliable operation.

Role Overview 

The Infrastructure engineer is responsible for designing, building, and operating the foundational infrastructure that powers the company's technology platform. This includes compute, storage, networking, and container infrastructure supporting enterprise applications, internal platforms, and hybrid cloud environments. 

This role focuses on delivering reliable, scalable, and automated infrastructure platforms across data centers and cloud environments. Infrastructure engineers operate the foundational platforms that support modern workloads, including virtualization platforms, storage systems, networking, and container infrastructure such as Kubernetes clusters. 

Work Location: Onsite at one of the listed locations; remote candidates may be considered.

MidAmerican Energy Company, a Midwest utility, provides regulated electric and natural gas service to more than 1.6 million customers in Illinois, Iowa, Nebraska and South Dakota. The company owns and operates a portfolio of power-generating assets, approximately 61% of which is wind generation.MidAmerican Energy Company is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Employees must be able to perform the essential functions of the position, with or without an accommodation.

Bachelor's degree in management information systems (MIS), computer science, or related technical field; or equivalent work experience. (Typically four years of related, progressive work experience would be needed for candidates applying for this position who do not possess a bachelor's degree.)

  • Six or more years of experience in infrastructure, platform, or site reliability engineering roles
  • Strong experience working with Linux systems and distributed infrastructure environments
  • Proficiency in at least one modern programming language, such as Go, Python, or Java

Core Technical Experience

Experience across several of the following areas:

  • Linux systems and core infrastructure fundamentals
  • Kubernetes and container orchestration platforms
  • Infrastructure as code and declarative system design (e.g., Terraform, GitOps)
  • Distributed systems and largescale infrastructure environments
  • Observability and monitoring using opensource tooling (e.g., Prometheus, Grafana, OpenTelemetry)
  • Distributed storage systems and concepts (e.g., Ceph or similar technologies)
  • Networking fundamentals in distributed and cloudbased environments
  • APIdriven infrastructure and automation systems
  • Infrastructure security practices, including identity, access, and secrets management
  • Hybrid infrastructure spanning onpremises data centers and cloud environments

Preferred Qualifications:

  • Experience operating Kubernetes clusters at scale
  • Experience withGitOpsworkflows such asArgoCDor Flux
  • Experience supporting streaming data platforms or messaging systems
  • Experience with SQL, NoSQL, or graph databases
  • Contributions to open-source infrastructure or platform projects

Work Location: Onsite at one of the listed locations; remote candidates may be considered.

Key Responsibilities

Infrastructure Engineering

  • Design, deploy, andoperateinfrastructure platforms includingcompute, storage, networking, and container infrastructure
  • Build andmaintainscalable infrastructure across on-premises data centers and cloud environments
  • Operate and support Kubernetes clusters and their underlying infrastructure
  • Ensure high availability, reliability, and performance of infrastructure systems
  • Support hybrid infrastructure environments and platform services that run on top of them

Automation & Infrastructure as Code

  • Develop andmaintaininfrastructure automation using modern programming languages (Go, Python, Java)
  • Implement infrastructure provisioning and configuration through infrastructure-as-code tools such as Terraform
  • Standardizeinfrastructure deployment and lifecycle management
  • Build tooling that improves operational efficiency and infrastructure reliability

Platform Integration

  • Support infrastructure dependencies for container platforms and distributed systems
  • Deploy, upgrade, andmaintainKubernetes clusters and related infrastructure components
  • Operate infrastructure services including IaaS platforms and storage systems
  • Collaborate with platform engineering teams supporting CI/CD,messaging,observability, and developer platforms

Observability & Reliability

  • Implement monitoring and observability using Prometheus, Grafana, andOpenTelemetry
  • Participate in incident response and root cause analysis
  • Contribute to reliability improvements and operational maturity

Security & Access Management

  • Implement infrastructure security best practices
  • Support identity and access management and secrets management systems
  • Collaborate with security teams to ensure infrastructure resilience and compliance

What Berkshire Hathaway Energy employees say

Pay

Benefits

Hours and flexibility

Workplace

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