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Senior Hadoop Developer Jobs (NOW HIRING)

Hadoop with dataware housing experience Location : Sunnyvale ,CA and Bentonville , Arkansas Duration :12 months C2C Educational document (graduation) is required. Very Strong engineering skills.

Hadoop with dataware housing experience Location : Sunnyvale ,CA and Bentonville , Arkansas Duration :12 months C2C Educational document (graduation) is required. Very Strong engineering skills.

Skill Hadoop, HDFS, HBase, Hive, Pig, and HBase, Sqoop, Apache Spark, Apache Storm, OOAD, SOAP ... programming, specifically Java, JS, Node.js and OOAD Experience writing to network-based API ...

... Engineer will work directly with Client Sales Analytics Team and Solutions Architects to develop ... Collaboratively develop a business intelligence (BI) solution, using Hadoop (Hive) Coordinate with ...

Knowledge of configuring/administration of Hadoop and its ecosystem components such as Hive, Pig, Sqoop etc. Experience in importing and exporting data using Sqoop from HDFS to Relational Database ...

Overall 12-15 yrs of experience in IT and atleast 5-6 yrs development experience on Hadoop using ... with DevOps tools like Chef, Puppet to integrate the artifacts and assets developed by model ...

... Hadoop using MapR, HIVE, Apache Spark • Experience in developing applications using big-data ... with DevOps tools like Chef, Puppet to integrate the artifacts and assets developed by model ...

Sun certified in Java and Cloudera Hadoop certified huge plus Qualifications Spark, Hive, HBASE, Pig, Sqoop Additional Information Multiple Openings for GC/Citizen

Company Description large Telecommunication client Senior Hadoop Tools Developer • Computer Science Degree or related, master degree is an advantage • 5-10+ years total experience in development ...

Company Description large Telecommunication client Senior Hadoop Tools Developer Computer Science Degree or related, master degree is an advantage 5-10+ years total experience in development mainly ...

The Senior/Lead Hadoop Developer is responsible for designing, developing, testing, tuning and building a large-scale data processing system, for Data Ingestion and Data products that allow the ...

Company Description Title: Sr. Hadoop Big Data Developer Location: Herndon, VA Type: Contract to Hire Required Skills: * Strong and deep knowledge of Java application development * Hands on ...

... Hadoop Developer with hands-on experience Hadoop- Hadoop ecosystem, Java MapReduce, Pig, Hive ... Proven ability to work with senior technical managers and staff to provide expert-level support for ...

... Hadoop Developer with hands-on experience Hadoop- Hadoop ecosystem, Java MapReduce, Pig, Hive ... Proven ability to work with senior technical managers and staff to provide expert-level support for ...

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Senior Hadoop Developer information

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How much do senior hadoop developer jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for senior hadoop developer in the United States is $56.20, according to ZipRecruiter salary data. Most workers in this role earn between $54.09 and $65.38 per hour, depending on experience, location, and employer.

What is the difference between Senior Hadoop Developer vs Data Engineer?

AspectSenior Hadoop DeveloperData Engineer
Primary FocusDesigning, developing, and maintaining Hadoop-based data processing solutionsBuilding and managing data pipelines, integrating data from various sources
Skills & CertificationsHadoop ecosystem, Java, SQL, Linux, certifications like Cloudera or HortonworksETL tools, SQL, cloud platforms, scripting, certifications like AWS or Google Cloud
Work EnvironmentData teams, software development projects, big data environmentsData infrastructure, analytics teams, cloud and on-premises environments

While both roles work with large-scale data, Senior Hadoop Developers focus on Hadoop ecosystem solutions, whereas Data Engineers build comprehensive data pipelines across various platforms. The roles often overlap but differ in scope and tools used.

What are the key skills and qualifications needed to thrive as a Senior Hadoop Developer, and why are they important?

To thrive as a Senior Hadoop Developer, you need strong expertise in big data frameworks (such as Hadoop, Spark, and Hive), advanced programming skills (Java, Scala, or Python), and a solid understanding of data modeling and distributed systems, often supported by a relevant degree. Experience with Hadoop ecosystem tools (HDFS, MapReduce, Pig, Sqoop), cloud platforms (AWS, Azure), and certifications like Cloudera or Hortonworks are commonly required. Analytical thinking, effective communication, and problem-solving abilities are key soft skills that help navigate complex data challenges and collaborate with cross-functional teams. These competencies ensure the efficient design, implementation, and optimization of scalable data solutions critical for business success.

What are some common challenges faced by Senior Hadoop Developers when managing large-scale data pipelines?

Senior Hadoop Developers often encounter challenges such as optimizing cluster performance, ensuring data integrity during ETL processes, and managing resource allocation across multiple jobs. They must also troubleshoot errors related to distributed computing, which requires a deep understanding of Hadoop's architecture and ecosystem tools like Hive, Pig, and Spark. Effective communication with data engineers, analysts, and DevOps teams is essential for resolving bottlenecks and maintaining efficient, scalable pipelines.

What are Senior Hadoop Developers?

Senior Hadoop Developers are experienced software professionals who specialize in designing, developing, and managing large-scale data processing solutions using the Hadoop ecosystem. Their responsibilities often include building data pipelines, optimizing queries, maintaining Hadoop clusters, and ensuring data security and reliability. They work with big data technologies like HDFS, MapReduce, Hive, Pig, and Spark, and often guide junior developers or collaborate with data engineers and analysts to translate business requirements into technical solutions.
What cities are hiring for Senior Hadoop Developer jobs? Cities with the most Senior Hadoop Developer job openings:
What are the most commonly searched types of Hadoop Developer jobs? The most popular types of Hadoop Developer jobs are:
What states have the most Senior Hadoop Developer jobs? States with the most job openings for Senior Hadoop Developer jobs include:
What are popular job titles related to Senior Hadoop Developer jobs? For Senior Hadoop Developer jobs, the most frequently searched job titles are:
Infographic showing various Senior Hadoop Developer job openings in the United States as of May 2026, with employment types broken down into 5% Full Time, 78% Part Time, 3% Temporary, and 14% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $116,906 per year, or $56.2 per hour.

Sr.Hadoop Developer

Tarbipro

Sunnyvale, CA • On-site

Contractor

Posted 21 days ago


Job description

Company Description

Tarbipro is a robust client-oriented IT staffing, Development & IT services enterprise offering comprehensive personalized recruitment and application development solutions - Ranging from strategy consulting to execution. We provide and deliver wide-ranging qualitative and cost-effective solutions, products and systems through engaging best practices across the organization.

Job Description

Role: Hadoop with dataware housing experience

Location: Sunnyvale ,CA and Bentonville , Arkansas

Duration :12 months C2C

Educational document (graduation) is required.

Job Description:

Very Strong engineering skills. Should have an analytical approach and have good programming skills.

Provide business insights, while leveraging internal tools and systems, databases and industry data

Minimum of 5+ years? experience. Experience in retail business will be a plus.

Excellent written and verbal communication skills for varied audiences on engineering subject matter

Ability to document requirements, data lineage, subject matter in both business and technical terminology.

Guide and learn from other team members.

Demonstrated ability to transform business requirements to code, specific analytical reports and tools

This role will involve coding, analytical modelling, root cause analysis, investigation, debugging, testing and collaboration with the business partners, product managers other engineering team.

Must Have

Strong analytical background

Self-starter

Must be able to reach out to others and thrive in a fast-paced environment.

Strong background in transforming big data into business insights

Technical Requirements

Advanced SQL (preferably Teradata)

Experience working with large data sets, experience working with distributed computing (MapReduce, Hadoop, Hive, Pig, Apache Spark, etc.).

Strong Hadoop scripting skills to process petabytes of data

Experience in Unix/Linux shell scripting or similar programming/scripting knowledge

Experience in ETL/ processes

Real time data ingestion (Kafka)

Nice to Have:

Development experience with Java, Scala, Flume, Python

Cassandra

Automic scheduler

R/R studio, SAS experience a plus

Presto

Hbase

Tableau or similar reporting/dash boarding tool

Modeling and Data Science background Retail industry background

Qualifications

Graduation 

Additional Information

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