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Live In Data Platform Engineer Jobs (NOW HIRING)

Tactile Medical

Data Platform Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Tactile Medical specializes in developing at-home therapy devices for various medical conditions. They are seeking a Data Platform Engineer to build and operationalize a modern data platform using ...

BENNETT MOTOR EXPRESS

Data Platform Engineer

Mcdonough, GA · On-site

$104K - $125K/yr

... central role in shaping our data strategy. This individual will be responsible for building ... Leverage Delta Lake, Delta Live Tables, and Databricks Workflows to build reliable, incremental ...

BetWarrior

Data Platform Engineer

Glendora, NJ · On-site

$110K - $132K/yr

In this role, youll * Design and own scalable data platforms for real-time and batch processing ... We expect every team member to live our values Accountability & Ownership Take charge, own your ...

RHP Staffing

Data Platform Engineer

Farmington, MI · On-site

$112K - $135K/yr

We invest in our employees, with regular training, opportunities for advancement, and fun events to bring everyone together. RHP Properties is seeking Data Platform Engineer to lead the design ...

RHP Properties

Data Platform Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

We invest in our employees, with regular training, opportunities for advancement, and fun events to bring everyone together. RHP Properties is seeking Data Platform Engineer to lead the design ...

Figma

Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $162K/yr

This is a full-time role that can be held from one of our US hubs or remotely in the United States ... data platform, infrastructure, or machine learning engineering, with at least 1+ years working on ...

Careers at KKR

Data Platform Engineer

Boston, MA · On-site

$124K - $149K/yr

The successful candidate will be instrumental in designing and constructing world-class data ... Serve as the senior engineering lead across one or more strategic platform domains, partnering ...

Vector Health AI

Data Platform Engineer

$117K - $140K/yr

About the Role We're looking for a Data Platform Engineer to join our early-stage team and take ... But unlike a pure data role, you'll also work directly in our full stack environment (Laravel, Vue ...

Figma

Data Platform Engineer

San Francisco, CA · On-site

$134K - $162K/yr

We are looking for a Data Platform Engineer to join our Data Engineering team and help build the ... Strong programming skills in Python or a similar language, with proven ability to build reliable ...

Treeswift Inc

Data Platform Engineer

New York, NY · On-site

$125K - $150K/yr

You will work closely with our in-house ML team (feature pipelines and model deployment live in ... Help us scale and harden our data platform. We have one dedicated data engineer today; you will be ...

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All JobsLive In Data Platform Engineer Jobs

Live In Data Platform Engineer information

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$44.5K

$129.7K

$177.5K

How much do live in data platform engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for live in data platform engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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.

More about Live In Data Platform Engineer jobs
What cities are hiring for Live In Data Platform Engineer jobs? Cities with the most Live In Data Platform Engineer job openings:
What are the most commonly searched types of Data Platform Engineer jobs? The most popular types of Data Platform Engineer jobs are:
What states have the most Live In Data Platform Engineer jobs? States with the most job openings for Live In Data Platform Engineer jobs include:
What job categories do people searching Live In Data Platform Engineer jobs look for? The top searched job categories for Live In Data Platform Engineer jobs are:
Live In Data Platform Engineer jobs near you
Infographic showing various Live In Data Platform Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, and 4% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Platform Engineer

Data Platform Engineer

Accenture Federal Services

Hill Air Force Base, UT • On-site

$105K - $126K/yr

Other

Posted 12 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

46th of 428 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

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