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Volunteer Big Data Software Engineer Jobs (NOW HIRING)

Summitworks

Big Data Solution Engineer

Durham, NC · On-site

$53.75 - $71.25/hr

Qualifications Minimum qualifications • Solid software engineer with excellent analytical and troubleshooting skills. • 4+ years of experience building production large scale big data ...

NAVA Software Solutions

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

NAVA Software solutions is looking for a Big Data Engineer Details: Big Data Engineer Location: Atlanta GA - Hybrid Duration: 12 months The successful candidate must have Big Data engineering ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

... software engineers to build fast, scalable, and effective applications, stream and batch data ... Experience with Hadoop, Spark, Hive, and/or other big data technologies * Comprehensive computer ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

... software engineers to build fast, scalable, and effective applications, stream and batch data ... Experience with Hadoop, Spark, Hive, and/or other big data technologies * Comprehensive computer ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

... software engineers to build fast, scalable, and effective applications, stream and batch data ... Experience with Hadoop, Spark, Hive, and/or other big data technologies * Comprehensive computer ...

ByteCubed

Big Data Engineer

Arlington, VA · On-site

$64.25 - $84.75/hr

Big Data, Strategy and Business Architecture, Systems Engineering, Enterprise cloud services and ... Develop reusable loosely-coupled software components to deploy on cloud platforms. * Implement ETL ...

ByteCubed

Big Data Engineer

Arlington, VA · On-site

$64.25 - $84.75/hr

Big Data, Strategy and Business Architecture, Systems Engineering, Enterprise cloud services and ... Develop reusable loosely-coupled software components to deploy on cloud platforms. * Implement ETL ...

R2 Technologies Corporation

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

Big Data Engineer Joining Location: Remote due to Covid but eventually (Alpharetta, GA) # of ... We are looking for an experienced Software Developers and Engineers who has a passion for building ...

Software Guidance & Assistance

Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

Software Guidance & Assistance, Inc., (SGA), is searching for a Big Data Engineer for a CONTRACT assignment with one of our premier Regulatory clients in the DMV area. This position is for a mid ...

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All JobsVolunteer Big Data Software Engineer Jobs

Volunteer Big Data Software Engineer information

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$15

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How much do volunteer big data software engineer jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for volunteer big data software engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.
What cities are hiring for Volunteer Big Data Software Engineer jobs? Cities with the most Volunteer Big Data Software Engineer job openings:
What are the most commonly searched types of Big Data Software Engineer jobs? The most popular types of Big Data Software Engineer jobs are:
Volunteer Big Data Software Engineer jobs near you
Platform Engineer - Big Data

Platform Engineer - Big Data

Noblesoft Technologies

Rockville, VA • On-site

$51.75 - $68.25/hr

Contractor

Posted 28 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.