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Live In Data Platform Engineer Jobs in Utah (NOW HIRING)

Pattern

Staff Data Platform Engineer

Lehi, UT · On-site

Required : • 8+ years of experience in data infrastructure or backend software engineering with a ... highly observable platforms using tools like Prometheus, Grafana, or Datadog to ensure deep ...

Pattern

Staff Data Platform Engineer

Lehi, UT

We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and ... In this high-impact role, you will be the catalyst that enables our partners and global teams to ...

Pattern

Staff Data Platform Engineer

Lehi, UT · On-site

We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and ... In this high-impact role, you will be the catalyst that enables our partners and global teams to ...

Pattern

Staff Data Platform Engineer

Lehi, UT

We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and ... In this high-impact role, you will be the catalyst that enables our partners and global teams to ...

WorkBay

Data & Infrastructure Engineer

Draper, UT · On-site

$107K - $128K/yr

... in data engineering, platform engineering, or a related field * Strong proficiency in Python and ... live business context WorkBay is an equal opportunity employer. We celebrate diversity and are ...

Adobe

Device Experience Platform Developer

Lehi, UT · Remote

$115K - $218K/yr

Device Experience Platform Engineer - NexthinkJob Summary The Device Experience Platform Engineer ... live interviews is not permitted unless explicitly invited by the interviewer or approved in ...

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Live In Data Platform Engineer information

How much do data platform engineers make?

Data platform engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and big data tools can earn higher compensation, often exceeding $180,000 per year.

Can I make 200K as a data engineer?

A Live In Data Platform Engineer can potentially earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, data architecture, and big data tools, as well as in high-demand industries or senior roles. Compensation varies based on location, company size, and individual expertise, with senior or specialized engineers often reaching or exceeding this salary level.

What is the difference between Live In Data Platform Engineer vs Data Engineer?

AspectLive In Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, IT, or related; certifications like AWS, GCP, or Hadoop
Work EnvironmentOn-site/live-in setup, often in remote or rural locations, supporting real-time data systemsOffice-based or remote, focusing on data pipeline development and management
Industry UsageUsed in industries requiring constant on-site data monitoring, such as energy or remote facilitiesCommon across tech, finance, healthcare, and other sectors for data infrastructure

The Live In Data Platform Engineer specializes in maintaining real-time data systems in on-site or remote environments, often requiring a live-in presence. In contrast, Data Engineers focus on building and managing data pipelines across various industries, typically working remotely or in-office. Both roles require similar technical skills but differ mainly in work setting and specific responsibilities.

What engineers make $300,000 a year?

Senior data platform engineers, especially those with expertise in large-scale data systems, cloud infrastructure, and advanced programming skills, can earn $300,000 or more annually. High compensation often requires extensive experience, specialized certifications, and leadership responsibilities within organizations that rely heavily on data infrastructure.

What engineer makes $500,000 a year?

A Live In Data Platform Engineer can earn $500,000 annually, especially with extensive experience, specialized skills in cloud platforms, data architecture, and high-demand environments. Such compensation often includes base salary, bonuses, and stock options in large tech companies or startups with significant data infrastructure needs.
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Live In Data Platform Engineer jobs near you
Data Platform Engineer

Data Platform Engineer

Accenture Federal Services

Hill Air Force Base, UT • On-site

$105K - $126K/yr

Other

This job post has expired today. Applications are no longer accepted.

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

48th of 442 rated business services

Job description

Accenture Federal Services is seeking a Data Platform Engineer to join our secure cloud platform team supporting government customers at Hill Air Force Base. This role is execution-focused with strong data platform engineering depth - you will design, build, and operate the streaming and batch data pipelines, lakehouse patterns, and platform services that enable rapid, secure delivery across a complex government program. The ideal candidate brings hands-on GitOps and infrastructure-as-code expertise, is comfortable in classified multi-network environments, and embodies extreme ownership. 

What Success looks like:

  • Data pipelines are reliable, automated, and instrumented with observability and quality gates. 
  • Platform services (Kafka, Airflow, Spark, EMR/Glue/Redshift) are standardized and version-controlled. 
  • Infrastructure is defined as code and operated through GitOps - no snowflake systems. 
  • Security and compliance controls are embedded into pipelines and platform services. 
  • You operate with minimal supervision and proactively close gaps. 

What you'll do:

  • DevOps & Platform Engineering
    • Design, implement, and maintain CI/CD for data pipelines and platform services
    • Build and manage IaC using Terraform, Ansible, and AWS CDK
    • Operate tooling: Crossplane, Backstage, Argo CD
    • Implement GitOps workflows using GitLab/GitHub
    • Manage Kubernetes and Docker for data services
  • Cloud Infrastructure & Operations
    • Design secure, scalable data platform architectures on AWS GovCloud and Azure Government
    • Optimize network architecture for data movement
    • Manage IAM and secrets for pipelines
    • Administer Linux/Windows systems with monitoring and logging
    • Troubleshoot and optimize pipelines (Kafka/Spark tuning, S3/Redshift patterns)
  • Security & Compliance
    • Implement security controls aligned with NIST, FedRAMP, and DISA STIG
    • Embed data governance: classification, lineage, retention, encryption
    • Integrate automated security and policy-as-code checks
    • Support audits, ATO, and compliance assessments
    • Manage encryption, keys, and access in classified networks
  • Collaboration & Continuous Improvement
    • Operate within SAFe Agile ceremonies
    • Mentor peers and drive engineering standards
    • Identify optimization opportunities across platform components
    • Document runbooks and operational procedures

Ideal Technical Background:

  • Kafka, Airflow, Spark; AWS EMR, Glue, Redshift
  • Lake/lakehouse architecture and large-scale data movement
  • GitOps & IaC: Terraform, Ansible, AWS CDK
  • CI/CD: GitLab/GitHub
  • Kubernetes, Docker
  • Crossplane, Backstage, Argo CD preferred
  • Python, Bash, PowerShell; Linux/Windows
  • Strong AWS experience (GovCloud preferred)

What you'll need:

  • 5 years of cloud, infrastructure, or data platform engineering experience
  • 3 years of designing secure data platform architectures
  • Hands-on experience with IaC and DevOps in production
  • Experience in classified environments (ex: NIPR/SIPR/JWICS)
  • Background in data engineering and security hardening

Bonus Points if you have:

  • Bachelor's degree
  • AWS or Azure certifications
  • Security+ or equivalent
  • CKA/CKAD
  • CISSP or advanced security certifications
  • Agile/Scrum certifications
  • Familiarity with accreditation frameworks
  • Data modeling and warehouse design (Redshift or equivalent)
  • Streaming patterns and stateful processing
  • Data catalog and lineage tooling
  • GPU-accelerated data processing (CUDA/cuDNN) as a plus
  • Multi-cloud architecture and advanced networking
  • Configuration management (Ansible/Chef/Puppet)

Clearance:
Must have an active Top Secret level clearance

#clearancejobs

#LI-Defense 

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