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Big Data Admin Jobs (NOW HIRING)

Saransh Inc

GCP Big Query Admin

Ashburn, VA · On-site

GCP Big Query Admin Location: Ashburn, VA / Irving, TX (Hybrid - 3 days a week in office) Job Type ... Please don't share GCP Engineers / Data Engineers - Need Admin candidates We are looking for a BQ ...

Abode Tech Zone

Portworx and BIG IP Admin

Portworx and BIG IP Admin Location: Miami, FL ( Hybrid Model - 2 days in a Week) We are seeking an ... This role involves ensuring high availability, data security, and efficient performance for ...

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How much do big data admin jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for big data admin in the United States is $60.15, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $72.84 per hour, depending on experience, location, and employer.

What is a Big Data Admin?

A Big Data Admin, or Big Data Administrator, is a professional responsible for managing, configuring, and maintaining big data platforms such as Hadoop, Spark, or NoSQL databases. They ensure the availability, performance, and security of big data environments, troubleshoot issues, and support data engineers and analysts in accessing and processing large datasets. Their duties also include monitoring system health, managing cluster resources, and implementing data backup and recovery processes. Big Data Admins play a vital role in supporting an organization's data infrastructure and enabling efficient data-driven operations.

What are the key skills and qualifications needed to thrive as a Big Data Admin, and why are they important?

To thrive as a Big Data Admin, you need expertise in database management, data warehousing, and distributed computing, often backed by a degree in computer science or information technology. Familiarity with platforms like Hadoop, Spark, NoSQL databases, and relevant certifications such as Cloudera or Hortonworks is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are essential soft skills. These abilities ensure efficient management, security, and optimization of large-scale data environments critical to organizational decision-making.

What are some typical challenges faced by Big Data Admins when managing large-scale data clusters?

Big Data Admins often encounter challenges related to ensuring high availability, scalability, and security of data clusters. Managing cluster performance and resource allocation can be complex, especially as data volumes grow and workloads become more diverse. Admins must also stay updated with evolving technologies and best practices to maintain system reliability and troubleshoot issues efficiently. Collaboration with data engineers and data scientists is frequent, as they work together to optimize data pipelines and resolve infrastructure bottlenecks.
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Big Data Admin jobs near you
Infographic showing various Big Data Admin job openings in the United States as of June 2026, with employment types broken down into 4% As Needed, 49% Full Time, 43% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $125,110 per year, or $60.1 per hour.

Big Data Infrastructure Administrator

Right Talent Right Now

Nashua, NH • On-site

Full-time

Posted 3 days ago

Job description

Job Description


Big Data Infrastructure Administrator


Merrimack NH or Dallas TX 

 12 Months contract

 Great pay


 Phone and Skype Interview 

  Job Description :

This role provides an exciting opportunity to roll out a new strategic initiative within the firm-- Enterprise Infrastructure Big Data Service. The Big Data Infrastructure DevOps / Support Administrator serves as a development and support expert with responsibility for the design, development, automation, testing, support and administration of the Enterprise Infrastructure Big Data Service. This will involve building and supporting a general purpose data analytics platform utilized by Fidelity's data scientist community. The incumbent will be responsible for developing features, ongoing support and administration, and documentation for the service. The platform provides a data hub and a blueprint for integrating with existing upstream and downstream technology solutions.


This role is DevOps and support administration. The position requires a strong background in computer architecture, software development, data management systems, distributed computing, and a solid understanding of the open-source technology ecosystem. An ideal prospect will have technical expertise, customer engagement skills, excellent communication skills, and a passion for organizing and analyzing data.


Primary Responsibilities

The incumbent will have the opportunity of working directly across the firm with developers, operations staff, data scientists, architects and business constituents to develop and enhance the big data service. Key responsibilities include:

Development, support, and maintenance of the infrastructure platform and application lifecycle

Design, development and implementation of automation innovations

Development of automated testing scripts

Building and nurturing relationships with Fidelity's developer and system administration communities

Contribution to all phases of the application lifecycle - requirements, development, testing, implementation, and support.

Responding and providing guidance to customers of the Big Data platform

Defining and implementing integration points with existing technology systems

Interacting with and participating in open-source software communities

Researching and remaining current on big data technology and industry trends and innovations

Participating in a 24 x 7 hour on-call support rotation


Education and Experience

B.S. Computer Science or equivalent

Master's degree is a plus

5+ years application development or systems administration experience

5+ years of development experience in one or more of the following languages: Java, C++, Perl, Python

Experience deploying or managing open-source software

Strong experience with any Linux distribution

Experience with Kafka and Cloudera

2+ years Hadoop experience

Database administration experience a plus


Skills and Knowledge

Certification and experience working in Hadoop

Certification and working experience in a NoSQL database

Experience with Splunk/HUNK or Solr solutions and dashboards running on Big Data technologies such as Hadoop

Strong background in Linux/Unix Administration

Agile Scrum or Kanban experience

Global team experience

Experience with automation/configuration management using Chef, Puppet or an equivalent

Programming in CI/CD technologies is a plus

Knowledge designing scalable distributed systems

Awareness of both current and developing technologies

Strong desire to innovate and develop future technology

Additional Information

All your information will be kept confidential according to EEO guidelines.

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