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Hadoop Jobs in Delaware (NOW HIRING)

Hadoop Developer Location: Wilmington, DE Length: 2 years F2F REQUIRED Locals only Requirements: - 5+ years Hadoop development experience - Experience with various Hadoop tools & frameworks ...

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 ...

Hadoop Developer Location: Wilmington, DE Length: 2 years F2F REQUIRED Visa copy required for submission Requirements: - 5+ years Hadoop development experience - Experience with various Hadoop tools ...

Hadoop Developer * 7+ Years of experience in the data warehousing architectural approaches and minimum 4 years of experience in Big data(Cloudera). * Excellent working experience in HDFS, Hadoop ...

Previous experience as a Hadoop developer or big data engineer. * Advanced knowledge of the Hadoop ecosystem and its components. * In-depth knowledge of Hive, HBase, and Pig. * Familiarity with ...

Required Skill and Experience • Experience in data warehousing architectural approaches. • Sound understanding and experience with Hadoop ecosystem (Cloudera). • Experience in working with a ...

Sound understanding and experience with Hadoop ecosystem (Cloudera). Experience in working with a Big Data implementation in production environment. Experience with Big Data technologies like Hadoop ...

Sound understanding and experience with Hadoop ecosystem (Cloudera). Experience in working with a Big Data implementation in production environment. Experience with Big Data technologies like Hadoop ...

The role involves performance tuning of Hadoop clusters, monitoring job performances, and collaborating with cross-functional teams for software deployment and capacity planning. Responsibilities ...

Responsibilities : • Big Data SME/Technical Lead with hands-on technical skills. • Proven experience on Hadoop (HDFS commands, Hue, Hive, Impala and PySpark) • Prior experience in data ...

Pyspark Developer

Wilmington, DE · On-site

$51.50 - $66.75/hr

Experience in managing Hadoop cluster with all services. Experience with Nosql Databases and Messaging systems like Kafka. Designing building installing configuring and supporting Hadoop Perform ...

Bigdata / ETL Developer

Wilmington, DE · On-site

$49.50 - $64.75/hr

Wilmington, DE Bigdata/ ETL Developer - We are look for Bigdata candidates with big data technologies like Hadoop/HIVE/Spark.' programming languages: ETL solutions, such as Ab Initio (strongly ...

Big Data Developer

Wilmington, DE · On-site

$51.50 - $66.75/hr

Big Data experience with Hadoop, Spark, Impala and Hive BI tools experience with Tableau is a plus 4+ years of development experience Complete software development lifecycle (analysis through ...

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Hadoop information

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How much do hadoop jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for hadoop in Delaware is $59.94, according to ZipRecruiter salary data. Most workers in this role earn between $57.02 and $65.43 per hour, depending on experience, location, and employer.

What is a Hadoop job?

Hadoop jobs refer to data processing tasks that are executed within the Hadoop ecosystem, typically using frameworks like MapReduce, Apache Hive, or Apache Pig. These jobs are designed to handle large volumes of data distributed across clusters of computers, making it possible to analyze and transform big data efficiently. Hadoop jobs can include data ingestion, transformation, aggregation, or analysis, and are often written in Java, Python, or SQL-like languages. Professionals working with Hadoop are responsible for developing, scheduling, monitoring, and troubleshooting these jobs to ensure smooth data processing.

What are the key skills and qualifications needed to thrive as a Hadoop developer?

To thrive as a Hadoop Developer, you need strong programming skills (Java, Python, or Scala), a solid understanding of distributed computing, and experience with big data processing, often supported by a relevant degree in computer science or IT. Proficiency with Hadoop ecosystem tools such as HDFS, MapReduce, Hive, Pig, and Spark, as well as certifications like Cloudera or Hortonworks, is typically required. Analytical thinking, problem-solving, and effective communication are vital soft skills that help developers interpret complex data and collaborate with teams. These capabilities are crucial for efficiently managing and extracting insights from large datasets, driving business value through data-driven decisions.

What are some typical challenges Hadoop professionals face when managing large-scale data clusters?

Hadoop professionals often encounter challenges such as ensuring cluster stability, handling hardware failures, and optimizing resource allocation. Managing data security and access controls across distributed environments can also be complex, especially as clusters grow in size. Additionally, balancing workloads and fine-tuning system performance to meet business requirements are ongoing tasks that require strong problem-solving skills and attention to detail. Collaboration with data engineers, system administrators, and developers is key to effectively maintaining and scaling the Hadoop ecosystem.

What is the difference between Hadoop vs Data Engineer?

AspectHadoopData Engineer
Primary RoleFramework for distributed storage and processing of big dataDesign, build, and maintain data pipelines and infrastructure
Skills & CertificationsHadoop ecosystem, MapReduce, HDFS, Java, LinuxSQL, Python, Spark, cloud platforms, data modeling
Work EnvironmentBig data clusters, data centers, cloud environmentsData warehouses, cloud platforms, enterprise systems
Industry UsageData processing, analytics, big data projectsData integration, pipeline development, analytics support

While Hadoop is a framework used for processing large datasets, Data Engineers focus on designing and maintaining the data infrastructure that often utilizes Hadoop components. Both roles require knowledge of big data tools, but Data Engineers have a broader scope including data pipeline development and cloud integration.

Is Hadoop admin a good career?

Hadoop administration is a viable career path for those interested in big data management, requiring skills in cluster setup, maintenance, and troubleshooting. It offers opportunities in data-driven industries and often involves certifications like Cloudera or Hortonworks. The role typically demands strong technical knowledge and problem-solving abilities.
Infographic showing various Hadoop job openings in Delaware as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $124,683 per year, or $59.9 per hour.

Hadoop Developer

Arka Infotech Inc

Wilmington, DE • On-site

Contractor

Re-posted 23 days ago


Job description

Job Description

Hadoop Developer
Location: Wilmington, DE
Length: 2 years
F2F REQUIRED Locals only
Requirements:
- 5+ years Hadoop development experience
- Experience with various Hadoop tools & frameworks (MapReduce, YARN, Pig, Hive, Hbase) and NoSQL
- Experience developing front-end and back-end solutions written in Java
- Proficiency with scripting languages (Python, Perl, JavaScript, Shell)
- Experience designing, developing, and implementing ETL and relational database systems
- Experience working with automated build and continuous integration systems (Maven, Jenkins) and test-driven development and unit testing frameworks (jUnit, xUnit, Nose)
- Experience with UNIX/Linux including basic commands, shell scripting and system administration/configuration

Qualifications

BS Degree

Additional Information

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