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Big Data Manager Jobs (NOW HIRING)

Futran Tech Solutions Pvt. Ltd.

Big Data Developer

Raleigh, NC · On-site

$51.50 - $66.75/hr

Experience with metadata management, data cataloguing, data modeling, and related tools (Enterprise Architect, Erwin or ER Studio or others) * Solid experience with Big Data tools like Spark, Python ...

Tror AI for everyone

Big Data Developer

Atlanta, GA · On-site

$51 - $66/hr

Big Data Developer Location: Georgia (GA) Work Authorization: Only USC / GC Experience: 8+ Years ... Develop and manage batch and streaming data processing using Dataflow / Apache Beam . * Work with ...

Roberts Recruiting

Big Data Architect

Framingham, MA

$65.50 - $84.25/hr

Develop the architecture for our Big Data & Analytics Platform to optimize the ingestion and management of varied sources of high volume data * Define analytic architecture that leverages the Big ...

Collabera

Big Data Developer

Phoenix, AZ

$52.50 - $68.25/hr

... Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced ... Skill: HIVE, PIG, Ozzy, Fully hands on Big Data developer Duration:1 year Qualifications Skill:

Precision Technologies Corp

Big Data Engineer

Jersey City, NJ · On-site

$58.25 - $77/hr

We are seeking an experienced Big Data Engineer with hands-on experience in designing, developing, and managing scalable big data pipelines and platforms. The ideal candidate should have strong ...

ACI Infotech

Big Data Engineer

$57 - $75.50/hr

Senior Software Engineer, Big Data Duration : Long Term Exp: 10+ years Job Overview : We are ... Regards, Niranjan | Manager - Business Development & Staffing - North America niranjan.m ...

Jobsbridge

Big Data Architect

Boston, MA

$69.25 - $89/hr

With over 20 man years of contingent staffing experience, the management & execution team is ... The emergence of big data is creating opportunities to develop data platforms that turn big data ...

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Big Data Manager information

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$31K

$97.1K

$172K

How much do big data manager jobs pay per year?

As of Jun 26, 2026, the average yearly pay for big data manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What are some common challenges Big Data Managers face when leading cross-functional teams?

Big Data Managers often navigate challenges such as aligning diverse technical expertise, ensuring clear communication across departments, and managing competing priorities between data science, engineering, and business stakeholders. They must balance the strategic vision with practical constraints like data privacy, scalability, and project deadlines. Successful managers foster collaboration by setting clear expectations, facilitating regular check-ins, and promoting a shared understanding of project goals.

What are the key skills and qualifications needed to thrive as a Big Data Manager, and why are they important?

To thrive as a Big Data Manager, you need expertise in data architecture, analytics, database management, and a strong background in computer science or a related field. Familiarity with big data platforms like Hadoop, Spark, and tools such as SQL, NoSQL databases, and relevant certifications (e.g., AWS Big Data Specialty) is highly beneficial. Exceptional leadership, problem-solving, and communication skills help in managing teams and translating business goals into technical solutions. These skills are crucial for efficiently overseeing large-scale data projects and ensuring data-driven decision-making aligns with organizational objectives.

What is a big data manager?

A big data manager oversees the collection, storage, and analysis of large data sets within an organization. They coordinate data engineers and analysts, often using tools like Hadoop or Spark, and ensure data quality and security while managing data infrastructure and workflows.

What is big data salary?

The salary for a Big Data Manager typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Professionals with skills in Hadoop, Spark, and data architecture tend to earn higher salaries, especially with certifications and advanced expertise.

Is 40 too late for data science?

For a Big Data Manager or data science professional, starting a career at 40 is not too late. Many individuals successfully transition into data roles later in life by acquiring relevant skills such as programming, statistics, and tools like SQL or Python, often through certifications or online courses. Experience, continuous learning, and adaptability are key factors in entering and advancing in data science at any age.

What is the difference between Big Data Manager vs Data Analyst?

AspectBig Data ManagerData Analyst
Required CredentialsBachelor's/Master's in Computer Science, Data Science, or related fields; often certifications in big data toolsBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages data infrastructure, oversees big data projectsAnalyzes data sets, creates reports, visualizations for insights
Employer & Industry UsageUsed in tech, finance, healthcare industries managing large-scale data systemsCommon across various industries for data-driven decision making

The Big Data Manager focuses on overseeing big data infrastructure, managing teams, and ensuring data systems operate efficiently. In contrast, Data Analysts primarily interpret data, generate reports, and provide insights. Both roles require strong technical skills, but their responsibilities and focus areas differ significantly.

What is the salary of a data manager?

The salary of a Big Data Manager typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Professionals with expertise in data architecture, cloud platforms, and data governance tend to earn higher salaries.
More about Big Data Manager jobs
What cities are hiring for Big Data Manager jobs? Cities with the most Big Data Manager job openings:
What are the most commonly searched types of Big Data jobs? The most popular types of Big Data jobs are:
What states have the most Big Data Manager jobs? States with the most job openings for Big Data Manager jobs include:
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Big Data Manager jobs near you
Infographic showing various Big Data Manager job openings in the United States as of June 2026, with employment types broken down into 64% Full Time, 24% Part Time, and 12% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Big Data Infrastructure Administrator

Right Talent Right Now

Milford, NH • On-site

Full-time

Posted 26 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