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Live In Data Platform Engineer Jobs in Chester, VA

Under Armour

Sr. Data Analytics Engineer

Richmond, VA

$113K - $136K/yr

Sr. Data Analytics Engineer Sr. Data Analytics Engineer Values & Innovation At Under Armour, we are ... in the design, implementation, maintenance and support of our modernized data platform to enable ...

Under Armour

Sr. Data Analytics Engineer

Richmond, VA

$113K - $136K/yr

Sr. Data Analytics Engineer Sr. Data Analytics Engineer Values & Innovation At Under Armour, we are ... in the design, implementation, maintenance and support of our modernized data platform to enable ...

Deloitte

Palantir Foundry Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

... platform capabilities across client and business needs. The ideal candidate brings technical experience in data engineering, strong problem-solving skills, and the ability to work across teams in a ...

Capital One

Lead Platform Engineer

Richmond, VA · On-site

$101K - $133K/yr

Lead Platform Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Monitor system performance, security, and data integrity, taking proactive measures to address ...

TEKsystems

Grafana Platform Engineer

Henrico, VA · Remote

$75 - $90/hr

... data into dashboards, KPIs, service-health views, and executive insights. In a modern NOC, this ... They also have a strong knowledge on how these tools interconnect to other platforms, how to size ...

CapTech Consulting

SaaS Platform Engineer

Richmond, VA · On-site

CapTech is seeking a SaaS platform engineer to play a hands-on role in the engineering, administration, and evolution of our enterprise application ecosystem. This is not a traditional "support-only ...

Capital One

Senior Platform Engineer

Richmond, VA · On-site

$103K - $142K/yr

Senior Platform Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Monitor system performance, security, and data integrity, taking proactive measures to address ...

CapTech Consulting

SaaS Platform Engineer

Richmond, VA · On-site

CapTech is seeking a SaaS platform engineer to play a hands-on role in the engineering, administration, and evolution of our enterprise application ecosystem. This is not a traditional "support-only ...

CapTech Consulting

SaaS Platform Engineer

Richmond, VA · On-site

CapTech is seeking a SaaS platform engineer to play a hands-on role in the engineering, administration, and evolution of our enterprise application ecosystem. This is not a traditional "support-only ...

Capital One

Sr. Lead Platform Engineer

Richmond, VA · On-site

In this role you will bring together key stakeholders across product, tech, risk, cyber, and lines ... Monitor system performance, security, and data integrity, taking proactive measures to address ...

LMI

Data Engineer

Fort Gregg Adams, VA · On-site

$80K - $90K/yr

Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and ... This role is onsite at Fort Lee (VA) LMI is seeking an Associate Data Engineer to support the U.S.

Deloitte

Data Engineer II

Richmond, VA · On-site

$113K - $136K/yr

... platform capabilities across client and business needs. The ideal candidate brings technical experience in data engineering, strong problem-solving skills, and the ability to work across teams in a ...

Data Capital Inc

Data Governance Analyst

Richmond, VA · On-site

... Architecture, Data Engineers, Project Teams, and Information Security to establish trusted ... The role will focus on enterprise data hosted on an AWS Data Platform and Snowflake , with ...

New

Deloitte

Data Engineer II

Richmond, VA · On-site

$113K - $136K/yr

... platform capabilities across client and business needs. The ideal candidate brings technical experience in data engineering, strong problem-solving skills, and the ability to work across teams in a ...

Capital One

Lead Platform Engineer (SAM)

Richmond, VA · On-site

$101K - $133K/yr

Lead Platform Engineer (SAM) Do you love building and pioneering in the technology space? Do you ... Analyze entitlement data against active installations to identify compliance gaps, financial ...

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All JobsLive In Data Platform Engineer JobsLive In Data Platform Engineer Jobs in Chester, VA

Live In Data Platform Engineer information

See Chester, VA salary details

$41K

$119.4K

$163.3K

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

As of Sep 12, 2026, the average yearly pay for live in data platform engineer in Chester, VA is $119,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $126,500.00 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.

What are popular job titles related to Live In Data Platform Engineer jobs in Chester, VA?

For Live In Data Platform Engineer jobs in Chester, VA, the most frequently searched job titles are:

What cities near Chester, VA are hiring for Live In Data Platform Engineer jobs?

Cities near Chester, VA with the most Live In Data Platform Engineer job openings:

Live In Data Platform Engineer jobs near you
Infographic showing various Live In Data Platform Engineer job openings in Chester, VA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $119,368 per year, or $57.4 per hour.

Platform Engineer - Big Data

Rockville, VA • On-site

Noblesoft Technologies
Software Development • 51 - 200 employees
Learn more about Noblesoft Technologiesexternal

$51.75 - $68.25/hr

Contractor

Re-posted 15 days ago

Job description

Role: Senior Platform Engineer - Big Data (AWS | EMR | EKS) 

Location: Rockville, MD, Tysons Corner, VA or Woodbridge, NJ or Jersey City, NJ (3 days onsite per week)

Duration: 6 months (long-term extensions)

 

Notes:

 Senior Platform Engineer – Big Data (AWS | EMR | EKS)

  • Build and modernize a large‑scale AWS big data platform (EMR, S3, Athena, Trino) supporting enterprise analytics
  • Help drive platform evolution toward cloud‑native, containerized workloads on AWS EKS (Kubernetes)
  • Work at the intersection of software engineering, big data, and platform engineering — not ETL‑only
  • Design and operate Spark‑based data workloads, optimizing performance, reliability, and cost
  • Implement CI/CD and Infrastructure as Code (Terraform / CloudFormation) for data platforms
  • Ideal for engineers with a strong backend or platform background who’ve grown into big data

Job Description:

Overview

We are seeking a Senior Platform Engineer with deep Big Data experience to help design, operate, and modernize a large‑scale data platform on AWS. This role goes beyond traditional ETL or pipeline development — it is focused on building and evolving the underlying data platform that supports analytics, reporting, and future AI/ML use cases.

The current environment is built primarily on AWS EMR and S3, with a strong query layer using Athena and Trino. The team is actively modernizing the platform and evaluating AWS EKS (Kubernetes) as part of a shift toward more cloud‑native, containerized data workloads.

This role is ideal for an engineer with a software or platform engineering background who moved into big data, rather than a pure ETL developer.

Key Responsibilities

  • Design, build, and operate scalable big data platforms on AWS, with S3 as the core data lake.
  • Develop and optimize Spark‑based workloads on EMR, including performance tuning and cost optimization.
  • Support and enhance federated query engines such as Athena and Trino for large‑scale analytics.
  • Contribute to the modernization of the data platform, including evaluation and adoption of Kubernetes/EKS for data services and workloads.
  • Build and operate data services and platform components using containerized deployments (Docker + EKS).
  • Implement and maintain Infrastructure as Code using Terraform and/or CloudFormation.
  • Design and support CI/CD pipelines for data and platform workloads.
  • Partner with data engineers, analytics teams, and stakeholders to ensure the platform is reliable, performant, and extensible.
  • Monitor and troubleshoot platform issues across clusters, pipelines, and query engines using CloudWatch and related tooling.
  • Continuously evaluate new technologies and propose improvements to the overall data architecture.

Required Qualifications

  • 8+ years of experience in Big Data, Platform Engineering, or Data Engineering roles.
  • Strong hands‑on experience with AWS, including:
    • EMR
    • S3
    • Athena
    • AWS Glue / Glue Data Catalog
  • Solid experience with Spark (PySpark or Scala) and distributed data processing.
  • Strong SQL skills, particularly with large datasets (Athena, Trino, Presto, etc.).
  • Experience with Docker and containerized applications.
  • Working knowledge of Kubernetes, with exposure to AWS EKS strongly preferred.
  • Experience implementing CI/CD pipelines (Jenkins, GitHub Actions, or similar).
  • Infrastructure as Code experience using Terraform and/or CloudFormation.
  • Strong scripting and programming skills (Python preferred).
  • Ability to think at a platform and architecture level, not just task execution.

Nice to Have

  • Experience running Spark on Kubernetes (EKS).
  • Trino/Presto performance tuning experience.
  • Experience preparing data platforms for AI/ML workloads.
  • Observability tooling experience (CloudWatch, Grafana, Prometheus).
  • Background as a software engineer before moving into big data.