ZipRecruiter

Log In

1

Senior Hadoop Developer Jobs (NOW HIRING)

Sarian, Inc.

Hadoop Developer

Newark, DE · On-site

Sr Hadoop Developer Location: Newark, DE, Plano TX, Charlotte,NC Fulltime Skill: Hadoop Developer * Experienced in Hadoop, Unix shell scripting. * 7+ Years of experience in the data warehousing ...

Bridge Tech

Sr.Hadoop Developer

Beaverton, OR

As a Sr. Hadoop developer you will work with a variety of talented client team mates and be a driving force for building solutions. You will be working on development projects related to commerce and ...

Bridge Tech

Sr.Hadoop Developer

Beaverton, OR · On-site

As a Sr. Hadoop developer you will work with a variety of talented client team mates and be a driving force for building solutions. You will be working on development projects related to commerce and ...

Ruri Software Technologies LLC

Sr.Hadoop Developer

Sr. Hadoop Developer Location : Jacksonville, FL/Remote *FLSA Classification: Computer Professional Exempt *Work Authorization Status: USC or GC Holder Summary: A Hadoop developer is responsible for ...

Ruri Software Technologies LLC

Sr. Hadoop Developer

Job Title: IT - Applications Development - Sr. Hadoop Developer A Hadoop/Spark/Scala developer is responsible for the design, development and operations of systems that store and manage large amounts ...

PB consulting

Senior Hadoop Developer

Stallings, NC

Experience with Hadoop data lifecycle management, storage management, and data retention. * Strong ... Collaborate with application, data engineering, and platform teams during incident, problem, and ...

New

Jobsbridge

Senior Hadoop Developer

Newark, NJ · On-site

Programming Experience with Hadoop / Map-Reduce with Java UNIX / Shell scripting Designing distributed solutions for parallel processing of large data. Full SDLC Experience (requirements analysis ...

PB consulting

Senior Hadoop Developer

Mount Holly, NC · On-site

Experience with Hadoop data lifecycle management, storage management, and data retention. * Strong ... Collaborate with application, data engineering, and platform teams during incident, problem, and ...

New

PB consulting

Senior Hadoop Developer

Belmont, NC

Experience with Hadoop data lifecycle management, storage management, and data retention. * Strong ... Collaborate with application, data engineering, and platform teams during incident, problem, and ...

New

PB consulting

Senior Hadoop Developer

Weddington, NC

Experience with Hadoop data lifecycle management, storage management, and data retention. * Strong ... Collaborate with application, data engineering, and platform teams during incident, problem, and ...

New

Jobsbridge

Senior Hadoop Developer

San Jose, CA

Programming Experience with Hadoop / Map-Reduce with Java UNIX / Shell scripting Designing distributed solutions for parallel processing of large data. Full SDLC Experience (requirements analysis ...

PB consulting

Senior Hadoop Developer

Tega Cay, SC

Experience with Hadoop data lifecycle management, storage management, and data retention. * Strong ... Collaborate with application, data engineering, and platform teams during incident, problem, and ...

New

PB consulting

Senior Hadoop Developer

Newell, NC

Experience with Hadoop data lifecycle management, storage management, and data retention. * Strong ... Collaborate with application, data engineering, and platform teams during incident, problem, and ...

New

next page

Showing results 1-20

All JobsHadoop Developer JobsSenior Hadoop Developer Jobs

Senior Hadoop Developer information

See salary details

$5

$56

$75

How much do senior hadoop developer jobs pay per hour?

As of Aug 14, 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?

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 is a senior Hadoop developer?

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:

Senior Hadoop Developer jobs near you
Infographic showing various Senior Hadoop Developer job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 3% Part Time, and 17% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $116,906 per year, or $56.2 per hour.

Senior Hadoop Developer

The Timberline Group

Saint Louis, MO • On-site, Remote

Full-time

Re-posted 4 days ago

Job description

Senior Hadoop Developer to develop, create, and modify general computer applications software or specialized utility programs.
Job responsibilities and duties include:
  • Implement data analytics processing algorithms on Big Data batch and stream processing frameworks (e.g. Hadoop MapReduce, Python, Spark, Scala, Kafka etc.).
  • Perform data acquisition, preparation, and perform analysis leveraging a variety of data programming techniques in Spark using Scala.
  • Work on complex issues where analysis of situations and data requires an in-depth evaluation of variable factors.
  • Load data from different datasets and decide on which file format is efficient for a task. Hadoop Developers source large volumes of data from diverse data platforms into Hadoop platform.
  • Install, configure, and maintain enterprise Hadoop environment.
  • Build distributed, reliable, and scalable data pipelines to ingest and process data in real-time. Hadoop Developers deals with fetching impression streams, transaction behaviors, clickstream data, and other unstructured data.
  • Define Hadoop Job Flows and manage Hadoop jobs using Scheduler.
  • Review and manage Hadoop log files.
  • Design and implement column family schemas of Hive and HBase within HDFS
  • Assign schemas and create Hive tables with suitable formats and compression techniques.
  • Mentor Big Data Developers on best practices and strategic development.
  • Develop efficient Pig and Hive scripts with joins on datasets using various techniques.
  • Apply different HDFS formats and structure like Parquet, Avro, etc. to speed up analytics.
  • Fine tune Hadoop applications for high performance and throughput.
  • Troubleshoot and debug any Hadoop ecosystem run time issues.
  • Develop and document technical design specifications.
  • Design and develop data integration solutions (batch and real-time) to support enterprise data platforms including Hadoop, RDBMS, and NoSQL.
  • Lead technical meetings, as required, and convey ideas clearly and tailor communication based on selected audience (technical and non-technical).
  • Implement Spark Streaming architecture and integration with JMS queue with custom receivers.
  • Develop and deploy API services in Java Spring.
  • Create Hive and HBase data source connection to Spring.
  • Implement multi-threading in Java/Scala.

This position has no direct reports and does not supervise any other personnel.
Minimum requirements:
Bachelor's degree in Computer Science, Applied Computer Science, Engineering, or any related field of study, plus at least two (2) years of experience in the job offered or in any related position(s).
Qualified applicants must also have demonstrable proficiency, skill, experience, and knowledge with the following:
1.Hadoop/Big Data Ecosystem and Architecture
2.Hive, Spark, HBase, Sqoop, Impala, Kafka, Flume, Oozie, and MapReduce
3.Programming experience in Java, Scala, Python, and Shell Scripting
4.SQL and Data modelling
Work from home benefit offered.
The Timberline Group
Phone: 636-209-5537
PO Box 385, Lebanon, MO 65536
www.timberlinegrp.com
resumes@timberlinegrp.com
"Delivering quality solutions through quality people"

Apply