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Data Infrastructure And Analytics Jobs (NOW HIRING)

Sequoia Connect

Data Infrastructure Architect

Atlanta, GA · On-site +1

$61.25 - $78.75/hr

We are currently searching for a Data Infrastructure Architect: The Challenge (Responsibilities ... Lead troubleshooting of production issues and drive root cause analysis and corrective actions.

WorkBay

Data & Infrastructure Engineer

Draper, UT · On-site

$107K - $128K/yr

Position Overview We are seeking a skilled and motivated Data & Infrastructure Engineer to own and evolve the data platform that powers WorkBay's operations, analytics, and strategic decision-making.

Clera

Robotics Data Infrastructure Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Implement storage solutions and schemas that support analytics, model training, and data replay ... Instrument observability, monitoring, and alerting for data flows and infrastructure. * Collaborate ...

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Data Infrastructure And Analytics information

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$153K

$178.7K

$202K

How much do data infrastructure and analytics jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data infrastructure and analytics in the United States is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,500.00 and $191,500.00 per year, depending on experience, location, and employer.

What does data infrastructure and analytics mean?

Data infrastructure and analytics refer to the systems, tools, and processes used to collect, store, manage, and analyze data within an organization. Data infrastructure includes databases, data warehouses, and cloud platforms, while analytics involves examining data to generate insights, often using software like SQL, Python, or BI tools. Professionals in this field need strong technical skills and understanding of data management principles.

What is the difference between Data Infrastructure And Analytics vs Data Engineer?

AspectData Infrastructure And AnalyticsData Engineer
Primary FocusBuilding data systems, managing data infrastructure, and enabling analyticsDesigning, constructing, and maintaining data pipelines and storage solutions
Skills & CertificationsData management, SQL, cloud platforms, analytics toolsProgramming (Python, Java), ETL, database systems, cloud services
Work EnvironmentCollaborates with data analysts, scientists, and business teamsWorks closely with data architects and software engineers
Industry UsageUsed across industries for data-driven decision makingPrimarily in tech, finance, and large enterprises with complex data needs

While both roles involve working with data systems, Data Infrastructure And Analytics focuses on creating and managing the infrastructure that enables data analysis, whereas Data Engineers primarily build and maintain the data pipelines and storage solutions that support these analytics. Understanding these distinctions helps organizations assign the right skills to each role.

Is data infrastructure and analytics a well paid job?

Data infrastructure and analytics roles are generally well paid, especially for professionals with strong skills in database management, cloud platforms, and data modeling. Salaries vary based on experience, location, and certifications, but these jobs tend to offer competitive compensation within the tech industry.
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What job categories do people searching Data Infrastructure And Analytics jobs look for?

The top searched job categories for Data Infrastructure And Analytics jobs are:

Data Infrastructure And Analytics jobs near you
Infographic showing various Data Infrastructure And Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $178,749 per year, or $85.9 per hour.

Big Data Infrastructure Administrator

Right Talent Right Now

Merrimack, NH • On-site

Full-time

Re-posted 16 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.

Apply