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On Call Upstream Scientist Jobs (NOW HIRING)

Anivas Tech LLC

Red Hat/OpenShift SRE

Upper Marlboro, MD · On-site

$56.50 - $75/hr

Participate in on-call rotation and contribute to continuous reliability improvement initiatives ... Bachelor's degree in Computer Science, Information Systems, Engineering, or related field; 5 ...

Cadre5

Senior Site Reliability Engineer

Knoxville, TN · On-site

$50.75 - $67.50/hr

S. scientific computing. If you're passionate about cloud engineering, DevOps, and enabling large ... Participate in on-call rotation providing 24-hour, 7-day support and off-hours maintenance windows.

Veho Tech, Inc.

Technical Lead Manager, MLOps

$199K - $241K/yr

Think service performance, permissioning, environment setup, and integration with upstream and ... Be part of the on-call rotation for our data science production systems. What You Bring: * Bachelor ...

Rocket

Senior Data Engineer

Detroit, MI · On-site

$104K - $142K/yr

... upstream and downstream dependencies that may impact pipeline performance or reliability • ... on-call rotations for incident management and production support • Mentor team members and ...

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Infographic showing various On Call Upstream Scientist job openings in the United States as of August 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 77% Full Time, 15% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Big Data Infrastructure Administrator

Right Talent Right Now

Arlington, TX

Full-time

Re-posted 21 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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