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Big Data Infrastructure Engineer Jobs (NOW HIRING)

Big Data Engineer

Reston, VA · On-site

$58 - $76.75/hr

Big Data Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this position ... Data Infrastructure Engineer, Analytics Engineer, etc. DEGREE (Level Desired)Bachelor's Degree ...

Big Data Engineer

San Antonio, TX · On-site

$50.75 - $67/hr

Big Data Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this ... Data Infrastructure Engineer, Analytics Engineer, etc. DEGREE (Level Desired) Bachelor's Degree ...

Big Data Engineer

Chantilly, VA · On-site

$57.50 - $76.25/hr

Big Data Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... Data Infrastructure Engineer, Analytics Engineer, etc. DEGREE (Level Desired) Bachelor's Degree ...

Big Data Engineer

Chantilly, VA · On-site

$57 - $75.50/hr

Big Data Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... Data Infrastructure Engineer, Analytics Engineer, etc. DEGREE (Level Desired) Bachelor's Degree ...

Big Data Engineer

Honolulu, HI · On-site

$55 - $73/hr

Big Data Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this position ... Data Infrastructure Engineer, Analytics Engineer, etc. DEGREE (Level Desired) Bachelor's Degree ...

Big Data Engineer

Annapolis Junction, MD · On-site

$57 - $75.25/hr

Big Data Engineer LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please note ... Data Infrastructure Engineer, Analytics Engineer, etc. DEGREE (Level Desired) Bachelor's Degree ...

Big Data Engineer

Aurora, CO · On-site

$56.75 - $75.25/hr

Big Data EngineerLOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... Data Infrastructure Engineer, Analytics Engineer, etc. DEGREE (Level Desired) Bachelor's Degree ...

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Big Data Infrastructure Engineer information

See salary details

$46.5K

$127.1K

$182K

How much do big data infrastructure engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for big data infrastructure engineer in the United States is $127,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $141,000.00 per year, depending on experience, location, and employer.

What is a big data infrastructure engineer?

Big Data Infrastructure Engineers are IT professionals responsible for designing, building, and maintaining the systems and environments that process and store large volumes of data. They work with technologies such as Hadoop, Spark, and cloud platforms to ensure data pipelines are efficient, scalable, and reliable. These engineers also manage data storage, security, and high-performance computing resources, enabling organizations to analyze and leverage big data for business insights.

What are the key skills and qualifications needed to thrive as a big data infrastructure engineer?

To thrive as a Big Data Infrastructure Engineer, you need expertise in distributed systems, data architecture, and programming languages like Java, Scala, or Python, typically backed by a relevant degree in computer science or engineering. Proficiency with big data tools such as Hadoop, Spark, Kafka, and experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies are crucial, as are certifications in these areas. Strong problem-solving, teamwork, and communication skills set top performers apart in this role. These skills enable efficient design, deployment, and maintenance of scalable data systems that support business intelligence and analytics needs.

What are some common challenges big data infrastructure engineers face when ensuring system scalability and reliability?

Big Data Infrastructure Engineers often encounter challenges related to optimizing system performance as data volumes grow rapidly. Ensuring that the infrastructure can scale horizontally without downtime requires careful planning and implementation of distributed computing frameworks. Additionally, maintaining data integrity and fault tolerance in complex, multi-node environments can be demanding, requiring constant monitoring and quick responses to system failures. Collaborating closely with data engineers and DevOps teams is essential to proactively address these challenges and implement robust solutions.

What is the difference between Big Data Infrastructure Engineer vs Data Engineer?

AspectBig Data Infrastructure EngineerData Engineer
Primary FocusDesigning, building, and maintaining big data infrastructure and pipelinesDeveloping and managing data pipelines, databases, and data models
Skills & CertificationsHadoop, Spark, cloud platforms, Linux, scriptingSQL, Python, ETL tools, cloud services
Work EnvironmentData centers, cloud environments, big data platformsData warehouses, cloud platforms, analytics teams
Industry UsageTech, finance, healthcare, any data-heavy industryTech, finance, retail, analytics-focused companies

While both roles involve working with data, Big Data Infrastructure Engineers focus on building and maintaining the infrastructure for processing large datasets, whereas Data Engineers develop data pipelines and models to enable data analysis. Understanding these distinctions helps in choosing the right career path or job search focus.

What states have the most Big Data Infrastructure Engineer jobs?

States with the most job openings for Big Data Infrastructure Engineer jobs include:

What are popular job titles related to Big Data Infrastructure Engineer jobs?

For Big Data Infrastructure Engineer jobs, the most frequently searched job titles are:

Infographic showing various Big Data Infrastructure Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,066 per year, or $61.1 per hour.

Big Data Infrastructure Administrator

Nashua, NH • On-site

Full-time

Re-posted 12 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.