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Live In Data Platform Engineer Jobs (NOW HIRING)

Data Platform Engineer

Union City, CA · Remote

$130.40K - $156.60K/yr

In this role, you will focus on the technical platform side of data, including scalability, orchestration, storage patterns, reliability, and engineering standards. You will collaborate with data ...

Data Platform Engineer

Minneapolis, MN

$119.50K - $143.50K/yr

The Data Platform Engineer will play a critical role in maturing and operationalizing this platform, ensuring it is reliable, efficient, and easy for teams to use. This role is responsible for ...

Data Platform Engineer

Farmington Hills, MI · On-site

$112.70K - $135.30K/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 ...

Data Platform Engineer

San Francisco, CA · On-site +1

$134.90K - $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 ...

Data Platform Engineer

Miami, FL · Hybrid

$109.50K - $131.50K/yr

Position is hybrid in Miami. Our client is at a strategic moment in our data platform ... They are looking for a Platform Engineer to support the implementation of the new cloud data ...

Data Platform Engineer

Boston, MA · On-site

$124.40K - $149.40K/yr

KKR sponsors investment funds that invest in private equity, credit and real assets and has ... TEAM OVERVIEW The ADAPT (AI, Data, and Platform Technologies) Engineering team is integral to KKR ...

Data Platform Engineer

Boston, MA · On-site

$124.40K - $149.40K/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 ...

Data Platform Engineer

Atlanta, GA · On-site

$100K - $150K/yr

As a Data Platform Engineer, you will contribute to building the modern Data platform at Prizepicks ... Where you'll live: * While we prefer candidates based in Atlanta, we are open to qualified ...

The Data Platform Engineer will operate our database ecosystem as critical infrastructure ... Company-paid parking in the heart of Brickell * State-of-the-art Apple computer and accessories

Data Platform Engineer

San Francisco, CA · On-site

$134.90K - $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 ...

Data Platform Engineer

New York, NY · On-site

$125.30K - $150.40K/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 ...

Data Platform Engineer

Austin, TX · On-site

$113.50K - $136.30K/yr

JOB SUMMARY Apptronik is seeking a Data Platform Engineer to join our Data Platform team ... In this role, you will build and maintain the backend systems that ingest, organize, and serve the ...

Senior Data Platform Engineer

Boston, MA · On-site

$115.10K - $156.40K/yr

Required : • 5+ years of experience in data engineering, platform engineering, or software engineering with significant ownership of production data systems. • Strong proficiency in Python and ...

Senior Data and Platform Engineer

New York, NY · On-site

$116K - $157.50K/yr

Build tooling for document processing, metadata, and normalization What We're Looking For * 7+ years in data engineering, platform engineering, or backend infrastructure * A track record of shipping ...

Senior Data and Platform Engineer

New York, NY · On-site +1

$116K - $157.50K/yr

Build tooling for document processing, metadata, and normalization What We're Looking For * 7+ years in data engineering, platform engineering, or backend infrastructure * A track record of shipping ...

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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 May 29, 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:
Infographic showing various Live In Data Platform Engineer job openings in the United States as of May 2026, with employment types broken down into 69% Full Time, 28% Part Time, and 3% Contract. Highlights an 53% Physical, 8% Hybrid, and 39% 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

$105.30K - $126.50K/yr

Other

Posted 19 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

47th of 424 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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