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Data Innovations Jobs in Dallas, TX (NOW HIRING)

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$35

$78

How much do data innovations jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for data innovations in Dallas, TX is $35.83, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $48.15 per hour, depending on experience, location, and employer.

What is a Data Innovations job?

A Data Innovations job typically involves developing, managing, and optimizing data processes, tools, or systems to improve data quality, accessibility, and insights. Professionals in this role work with data platforms, automation, and analytics to drive innovation and efficiency in business operations. Responsibilities may include data integration, workflow automation, and collaborating with stakeholders to enhance data-driven decision-making.

What are the typical daily responsibilities of someone working in Data Innovations?

Professionals in Data Innovations roles spend their days developing and testing new data models, exploring emerging technologies, and collaborating with cross-functional teams to solve unique business challenges. They may gather and cleanse data, run experiments to validate hypotheses, and communicate insights to both technical and non-technical stakeholders. Regular tasks can also include researching industry trends and identifying ways to improve processes with data-driven solutions. This dynamic environment requires continuous learning and creative thinking, making every day both challenging and rewarding.

What are the key skills and qualifications needed to thrive in the Data Innovations position, and why are they important?

To thrive in a Data Innovations role, you need a strong background in data analytics, statistical modeling, and creative problem-solving, often supported by a degree in computer science, data science, or a related field. Familiarity with tools such as Python, R, SQL, and machine learning platforms, as well as certifications like AWS Certified Data Analytics, is highly valuable. Outstanding communication, adaptability, and collaboration are crucial for translating complex findings into actionable business solutions. These skills enable you to identify, design, and implement innovative data-driven strategies that create a competitive advantage for organizations.

What are popular job titles related to Data Innovations jobs in Dallas, TX? For Data Innovations jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Data Innovations jobs in Dallas, TX look for? The top searched job categories for Data Innovations jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Data Innovations jobs? Cities near Dallas, TX with the most Data Innovations job openings:
Data Innovations jobs near you
Infographic showing various Data Innovations job openings in Dallas, TX as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $74,520 per year, or $35.8 per hour.

Big Data Infrastructure Administrator

Right Talent Right Now

Fort Worth, TX

Full-time

Re-posted 2 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 rotatio


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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