1

Big Data Hadoop Jobs (NOW HIRING)

Big Data/ Hadoop Architect

$65.25 - $84/hr

Job Title: - Big Data/ Hadoop Architect Duration :- 8+ Months Location :- Remote The selected candidate will work directly with the team in researching, building, and implementing the computer ...

Strong development experience in Big Data, NoSQL Databases. * Strong development Experience in Storm, Spark, HDFS, Hive and Big Data related components. * Deep Understanding of JAVA, Linux/Unix.

Strong development experience in Big Data, NoSQL Databases. * Strong development Experience in Storm, Spark, HDFS, Hive and Big Data related components. * Deep Understanding of JAVA, Linux/Unix.

Preferred Strong development experience in Big Data, NoSQL Databases. Strong development Experience in Storm, Spark, HDFS, Hive and Big Data related components. Deep Understanding of JAVA, Linux/Unix.

Working with data delivery teams to setup new Hadoop users, including access to HDFS, Hive, Pig and MapReduce, etc. Cluster maintenance as well as creation and removal of nodes using tools like ...

Working with data delivery teams to setup new Hadoop users, including access to HDFS, Hive, Pig and MapReduce, etc. * Cluster maintenance as well as creation and removal of nodes using tools like ...

Strong Expetise working in / Understanding of Big data a technologies with strong focus on Hortonworks. * Strong knowledge of Kafka, Flume, Sqoop, Hive, Pig, Map Reduce, Spark, Storm with hands on ...

Big Data, Hadoop, Spark AWS - Redshift Strong Java development Qualifications AWS,Spark,Java Additional Information Only GC/Citizen,OPT,EAD,H4

Strong development experience in Big Data, NoSQL Databases. * Strong development Experience in Storm, Spark, HDFS, Hive and Big Data related components. * Deep Understanding of JAVA, Linux/Unix.

Big Data, Hadoop, Spark AWS - Redshift Strong Java development Qualifications AWS,Spark,Java Additional Information Multiple Openings for GC/Citizen

Hadoop administrator with 4 years of experience in Java. * At least 2+ years of experience as Hadoop Administrator on Horton Works Distribution . * Experience in handling various Hadoop Components ...

Big Data, Hadoop, Python & Angular Job Summary We are seeking an experienced Big Data Engineer to join a high-performing team supporting enterprise-scale data initiatives for Wells Fargo through ...

Strong experience in Big Data, NoSQL Databases. * Strong Experience in Mongo DB, Storm, HDFS, Hive and Big Data related components. * Strong Experience in BI technologies * Deep Understanding of JAVA ...

Strong experience in Big Data, NoSQL Databases. * Strong Experience in Mongo DB, Storm, HDFS, Hive and Big Data related components. * Strong Experience in BI technologies * Deep Understanding of JAVA ...

Strong development experience in Big Data, NoSQL Databases. * Strong development Experience in Storm, Spark, HDFS, Hive and Big Data related components. * Deep Understanding of JAVA, Linux/Unix.

Strong Expetise working in / Understanding of Big data a technologies with strong focus on Hortonworks. * Strong knowledge of Kafka, Flume, Sqoop, Hive, Pig, Map Reduce, Spark, Storm with hands on ...

Strong Expetise working in / Understanding of Big data a technologies with strong focus on Hortonworks. * Strong knowledge of Kafka, Flume, Sqoop, Hive, Pig, Map Reduce, Spark, Storm with hands on ...

Showing results 41-60

Big Data Hadoop information

See salary details

$10

$55

$71

How much do big data hadoop jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for big data hadoop in the United States is $56.00, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $60.34 per hour, depending on experience, location, and employer.

Is Big Data Hadoop used in big data?

Big Data Hadoop is a widely used framework for processing large datasets in big data environments. Hadoop's distributed storage and processing capabilities make it essential for data engineers and analysts working with massive data volumes, often complemented by skills in MapReduce, HDFS, and related tools.

What are the key skills and qualifications needed to thrive as a Big Data Hadoop professional?

To thrive as a Big Data Hadoop professional, you need expertise in distributed computing, data processing, and programming languages like Java, Python, or Scala, typically supported by a degree in computer science or related fields. Familiarity with Hadoop ecosystem tools (such as HDFS, MapReduce, Hive, Pig, Spark), and certifications like Cloudera Certified Associate (CCA) or Hortonworks Certified Associate (HCA) are highly valued. Strong analytical skills, problem-solving abilities, and effective communication set standout professionals apart in this role. These skills are essential for efficiently managing and processing massive datasets, ensuring data-driven decision-making, and collaborating with cross-functional teams.

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

AspectBig Data HadoopData Engineer
Primary FocusManaging and processing large datasets using Hadoop ecosystemDesigning, building, and maintaining data pipelines and infrastructure
Required SkillsHadoop, MapReduce, HDFS, Hive, PigSQL, ETL, Python, Spark, cloud platforms
Work EnvironmentBig data environments, data centers, cloud platformsData warehouses, cloud services, enterprise IT
CertificationsHadoop certifications, Cloudera, HortonworksGoogle Cloud, AWS, Microsoft Azure certifications

While Big Data Hadoop specialists focus on managing and processing data using Hadoop tools, Data Engineers design and develop data pipelines and infrastructure to support data analysis. Both roles often collaborate but have distinct skill sets and responsibilities within the data ecosystem.

What is a Big Data Hadoop professional?

A Big Data Hadoop professional is someone skilled in using Apache Hadoop, an open-source framework that processes and stores vast amounts of data across distributed computer clusters. These professionals typically work with tools within the Hadoop ecosystem, such as HDFS (Hadoop Distributed File System), MapReduce, Hive, Pig, and HBase, to manage big data workflows. Their responsibilities include designing, developing, and maintaining scalable data processing systems, ensuring data reliability and security, and optimizing performance for analytics and business intelligence applications.

What are some common challenges faced by Big Data Hadoop professionals when managing large data clusters?

Big Data Hadoop professionals often encounter challenges such as ensuring cluster performance and reliability, handling data security, and managing resource allocation efficiently. Balancing workloads across nodes, troubleshooting job failures, and optimizing storage and processing can require creative problem-solving and close monitoring. Additionally, keeping up with rapid technology changes and integrating Hadoop with other data tools are ongoing aspects of the role. Collaboration with data engineers, analysts, and IT teams is essential for maintaining smooth operations and addressing issues quickly.

What are jobs in Big Data Hadoop?

Jobs in Big Data Hadoop include roles such as Hadoop Developer, Data Engineer, and Big Data Architect, focusing on designing, developing, and maintaining data processing systems using Hadoop ecosystem tools like HDFS, MapReduce, and Spark. These roles typically require knowledge of programming languages like Java or Python, data modeling, and experience with distributed computing environments.
More about Big Data Hadoop jobs

What cities are hiring for Big Data Hadoop jobs?

Cities with the most Big Data Hadoop job openings:

What states have the most Big Data Hadoop jobs?

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

What job categories do people searching Big Data Hadoop jobs look for?

The top searched job categories for Big Data Hadoop jobs are:

Infographic showing various Big Data Hadoop 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 $116,474 per year, or $56 per hour.

$65.25 - $84/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Title:- Big Data/ Hadoop Architect
Duration:- 8+ Months
Location:- Remote
Job Description:
The selected candidate will work directly with the team in researching, building, and implementing the computer applications that will fulfill the team's mission. These efforts will also provide the structure for the state-wide implementation of advanced smart mobility communication and transportation technologies.
This position will function as a highly skilled Architect with specific responsibilities that include:
• Operate effectively as a big data SME with knowledge of the latest tools, applications, and cloud infrastructures necessary to implement a powerful open-source system.
• Operate as a technical expert with intimate knowledge regarding all components that comprise the entire solution set.
• Serve as the SME on the host of applications and environments required to serve the users.
• Operate as SME in the implementation of Open Source Big data solutions from infrastructure to applications.
• Assist with developing the delivery of Epics, Stories, and Tasks that will comprise the solution set for BI.
• Operate as the cross-technology and platform SME.
• Act as Open Source advocate and practitioner.
• Assist in the execution of the process of operating as an Agile evangelist and master.
• Mentor teams involved in developing highly technical solutions and promote a culture that values input from all team members.
• Promote continuous learning and deliver value to the customer.
• Assist in the development of standards, procedures, and operating systems applications.
• Assist with the revision of existing solutions to increase operating efficiency or adapt to new requirements.
• Prepare records and reports.
• Demonstrated end-to-end big data environment build leadership and architecture development.
• Creative thinker with experience in implementing Open Source.
• Student of advanced Open Source BI tools, having implemented at least three BI applications end to end. Preference to Tableau, Pentaho, Pentaho, BIRT, JasperReport, SpagoBI, KNIME, ReportServer, Bitnami ReportServer Stack.
• Expert knowledge with a track record of solution delivery using various data integration solutions in situations requiring real-time (synchronous and asynchronous) messaging, Publish/Subscribe models, Microservices patterns, Middleware, and other related methodologies in a multi-user, multi-platform, multi-tier environment.
• Strong communication/leadership skills.
• Strong influence, collaboration, and negotiation experience.
• Ability to collaborate with supporting resources across business and/or functional lines.
• Ability to mentor teams involved in developing highly technical solutions and value input from all team members.
• Have excellent oral and written skills/possess strong meeting and work session facilitation skills.
• Act as the escalation point for high-priority support issues.
• Have the ability to work independently and as part of a team, and the ability to manage time and resources to meet assigned deadlines.
• Have excellent organizational skills, proven analytical, planning, problem-solving, and decision-making skills.
• Ability to work with other architects and information security to control implementation risk.
REQUIRED SKILLS:
• 4-year college degree in computer science or related field with advanced study preferred.
• 5 yrs. experience in Hadoop HDFS Build and administration, certification preferred.
• 5 yrs. experience in working with, installing, and setting up HBase, MongoDB, Maven, DocumentDB, Amazon DynamoDB, BigTable, Cassandra, or Druid.
• 5 yrs. experience working daily within an Agile team.
• 5 yrs. experience working within a paired programming environment.
• 7 yrs. in Software development as a developer.
• 7 yrs. experience in IT infrastructure deployment.
• 7 yrs. experience in Open Source software deployment.
• 7 yrs. experience in Web systems and application deployment.
• 7 yrs. experience in Requirements Gathering and Use Case development.
• 7 yrs. experience in Java considered a journeyman in this language.
• 7 yrs. experience delivering inside of a full TDD, CI, and DevOps environment within an Agile framework.
DESIRED SKILLS:
• Experience working on machine learning, deep learning, artificial intelligence, and natural language problems and solutions.
• Experience working on autonomous vehicle solutions.