ZipRecruiter

Log In

1

Big Data Infrastructure Engineer Jobs (NOW HIRING)

Pivot Robotics

Data Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Build and maintain data infrastructure on AWS * Build the artifact store for scans, meshes, model checkpoints, and calibration files * Build edge-to-cloud pipelines between robotic cells and our ...

USM

Big Data Engineer

Washington, DC · On-site

$63.25 - $83.50/hr

Job Title: Big Data Engineer Location: Washington, DC Duration: 6 Months Face to Face Must (NO ... Experience planning architectures and infrastructures in support of data management processes and ...

Pivot Robotics

Data Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Build and maintain data infrastructure on AWS * Build the artifact store for scans, meshes, model checkpoints, and calibration files * Build edge-to-cloud pipelines between robotic cells and our ...

Guidehouse

Data Infrastructure Engineer

$117K - $140K/yr

Ability to Obtain Public Trust We are seeking aData Infrastructure Engineerto build andoperatethe ... ProficiencyinSQLand one programming language commonly used for data engineering (Python preferred;

Apex Informatics

Data Platform Infrastructure Engineer

$110K - $144K/yr

Data Platform Infrastructure Engineer Location: 100% remote CA, Remote 1 year contract Must have: • AWS experience with Kubernetes operating knowledge. • Excellent communication skills • Big ...

Invid, Llc.

$84K - $101K/yr

Job Summary We are seeking a talented and driven Data Infrastructure Engineer to support the modernization of the client's data infrastructure and drive enterprise-wide data excellence. In this role ...

NetApp

Intelligent Data Infrastructure Engineer

San Jose, CA · On-site

$202K - $239K/yr

Job Summary We are seeking an Intelligent Data Infrastructure Engineer to design, develop, and optimize the core software that powers next-generation data infrastructure for enterprise and AI ...

Pivot Robots, Inc.

$79K - $104K/yr

Build and maintain data infrastructure on AWS * Build the artifact store for scans, meshes, model checkpoints, and calibration files * Build edge-to-cloud pipelines between robotic cells and our ...

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.

NetApp, Inc.

$127K - $151K/yr

Job Summary We are seeking an Intelligent Data Infrastructure Engineer to design, develop, and optimize the core software that powers next-generation data infrastructure for enterprise and AI ...

Guidehouse

Data Infrastructure Engineer

$117K - $140K/yr

Ability to Obtain Public Trust We are seeking a Data Infrastructure Engineer to build and operate the data platform that powers AI/ML analytics modules. You will design and implement scalable data ...

Lyric

Sr. Data Infrastructure Engineer

$125K - $187K/yr

The Senior Data Infrastructure Engineer designs, builds, and scales reliable data platforms that power online transaction processing, analytics, machine learning, and business intelligence. This role ...

INVID

Data Infrastructure Engineer

San Juan, PR · On-site

$110K - $132K/yr

Job Summary We are seeking a talented and driven Data Infrastructure Engineer to support the modernization of the client's data infrastructure and drive enterprise-wide data excellence. In this role ...

previous page

Showing results 41-60

All JobsTechnology JobsData JobsData Software Engineer JobsBig Data Infrastructure Engineer Jobs

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 11, 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 Analytics Engineer

Saint Louis, MO

Avance Consulting Services
Recruiting and Staffing Services • 501 - 1,000 employees
Learn more about Avance Consulting Servicesexternal

$54.25 - $71.75/hr

Full-time

Re-posted 26 days ago

Key responsibilities

  • Develop and implement a full end-to-end Cloud solution for analytics backend, including infrastructure design, platform, automation, and storage architecture.

  • Work collaboratively with data science and software engineering teams to develop solutions that deliver value.

  • Become an expert in AWS services and assist in integrating big data infrastructure in the cloud.

Job description

Company Description

Warm Greetings!

My name is Ganesh and I am a Sr. Technical Recruiter with Tricolor Inc. We are a leading consulting company and have been in consulting business for last 20 years. We are primary vendors to several Fortune 1000, Investment Banks and Financial companies. 

I found your resume on one of the job boards and it looks to be a good fit for an open position we have. Please review the job description listed below. If you are interested, please respond with your updated resume or give me a call on 732-328-8980 at your earliest convenience. If you are not looking for new roles, please forward this email to someone either from your professional network or friends who are looking for new opportunities since we have an excellent referral program.


Job Description

Position- Big Data Analytics Engineer

Location- St. Louis, Missouri

Duration- Full Time

Job Description:

In this role, the candidate will work closely with the data science group and software engineering group to develop and implement a full end-to-end Cloud solution for our analytics backend including Infrastructure Design, Platform, Automation, and Storage Architecture. You will become an expert of AWS services that we leverage and help us to efficiently integrate our big data infrastructure in the AWS cloud. The successful candidate will have the opportunity to work collaboratively with interdisciplinary scientists internal to Monsanto, organize challenging problems, develop new solutions, and work with business & development teams to ensure these solutions deliver value.

Education:

 Master's Degree in Computer Science, Engineering, or a related field

Required Skills:  

3+ years post education work experience 

Strong object oriented and or functional programming experience with at least 3+ years of experience using Python 

Experience with virtualized infrastructure and Infrastructure as a Service (I-a-a-S) such as Amazon Web Services, or Google Compute Engine 

Experience with Big data ecosystem including H-base, Mongo-DB, Map-Reduce, and Spark 

Understanding of developing systems and software around API's and creating services and micro services. 

Excellent verbal and written communication skills 

Excellent project management skills, demonstrated ability to deliver detailed technical documentation and manage tasks 

Comfortable working in a dynamic environment and developing flexible solutions to meet evolving requirements. 

Required Technical Skills:

Big Data, Python, including H-base, Mongo-DB, Map-Reduce, and Spark 

Employment:

As a condition of employment with Company, any successful job applicant will be required to pass a pre-employment drug screen and to successfully complete a background investigation, which may also include a credit check for positions in some areas of our business.

Thanks,

Ganesh Gani

Sr. IT Recruiter

Tricolor, Inc.

Direct: (732) 328-8980

100 Franklin Square Drive #207, Somerset, NJ 08873

Tel (732) 873-0305 | Fax (732) 873-9075

www.tricolor.com | Certified Minority Business Enterprise (MBE)



Qualifications

Any

Additional Information

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

Avance Consulting logo

About Avance Consulting

Sourced by ZipRecruiter

Avance Consulting is a global leader in innovative talent solutions for diverse industries. Since 2007, we have been serving nearly a third of Fortune 500 companies and most of the top 100 technology companies worldwide. Our team of 700+ experts offers Engineering Services, Information Technology, Digital and Executive Search solutions from our offices in North America, UK, Europe and APAC. At Avance you can learn new skills and technologies, have more advancement opportunities and career growth, being a part of our productive atmosphere, and a positive reinforcement culture.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Somerset , NJ, US

Year founded

2007

Social media

FacebookInstagram

View All Avance Consulting Jobs

Apply