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Overnight Big Data Software Engineer Jobs (NOW HIRING)

Samprasoft

Sr. Big Data Engineer

Durham, NC · On-site

$50.50 - $66.75/hr

Software Engineer IV - Big Data Engineer Location: Durham, NC (Day 1 onsite) Duration: Long Term Responsibilities: * Ability to assemble large, complex sets of data that meet non-functional and ...

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

Palo Alto, CA · 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 ...

Apply Early

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 ...

Apply Early

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 ...

Apply Early

ZipRecruiter

Senior Software Engineer, Big Data

Palo Alto, CA · 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 ...

Apply Early

ZipRecruiter

Senior Software Engineer, Big Data

Palo Alto, CA · 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 ...

Apply Early

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 ...

Apply Early

Circana

Sr. Big Data Engineers*| HQ: Chicago, IL

$57 - $75.50/hr

... Software Engineer/Developer or in Software Development required. Required Skills: experience ... Big Data querying tools (Hive); data-warehousing & data-modeling techniques; Core Java, Linux, SQL ...

Ova Technologies

Big Data Engineer

Manhattan, NY · On-site

$61.50 - $81.25/hr

Big Data Engineer We are seeking a highly skilled Big Data Engineer to design, develop, and ... Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software ...

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 ...

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Overnight Big Data Software Engineer information

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$15

$62

$88

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

As of Jul 5, 2026, the average hourly pay for overnight 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 is the difference between Overnight Big Data Software Engineer vs Data Engineer?

AspectOvernight Big Data Software EngineerData Engineer
Primary FocusDeveloping and maintaining big data processing systems during overnight shiftsDesigning, building, and managing data pipelines and infrastructure
Work EnvironmentTypically in data centers or office settings with night shiftsOffice or cloud environments, often with flexible hours
Required SkillsBig data tools (Hadoop, Spark), programming, scripting, overnight shift readinessData modeling, ETL processes, database management, cloud platforms

While both roles involve working with big data technologies, the Overnight Big Data Software Engineer focuses on developing systems during night shifts, often emphasizing real-time processing and system stability. Data Engineers build and maintain data pipelines and infrastructure, usually during regular hours. Understanding these differences helps in choosing the right career path or job search focus.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise remains critical for integrating AI tools effectively. Skills in programming, cloud platforms, and data architecture are valuable for data engineers working alongside AI advancements.

What engineers make $300,000 a year?

Senior Big Data Software Engineers with extensive experience, advanced skills in distributed systems, and proficiency in tools like Spark and Hadoop can earn $300,000 or more annually. High compensation often reflects leadership roles, specialized expertise, or working in high-demand industries such as finance or technology.

Can I make 200K as a data engineer?

As an overnight Big Data Software Engineer, earning $200,000 annually is possible in high-cost-of-living areas or with extensive experience, advanced skills in distributed systems, cloud platforms, and data architecture. Salaries vary based on location, company size, and expertise, with senior roles and specialized skills often commanding higher compensation.

What engineer makes $500,000 a year?

An Overnight Big Data Software Engineer can earn $500,000 or more annually, especially with extensive experience, specialized skills in distributed systems, and working in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant data infrastructure needs.
What cities are hiring for Overnight Big Data Software Engineer jobs? Cities with the most Overnight 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:
What states have the most Overnight Big Data Software Engineer jobs? States with the most job openings for Overnight Big Data Software Engineer jobs include:
Overnight 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 6 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.