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Hadoop Jobs in Delaware (NOW HIRING)

Keylent Inc

Lead AB Initio Developer

Wilmington, DE · On-site

... like Hadoop/HIVE/Spark. Qualifications : Required : • BS/BA degree or equivalent experience. • Understanding of architecture and design across all systems. • Working proficiency in ...

Keylent Inc

API Microservices Lead developers

Wilmington, DE · On-site

$57.25 - $75/hr

... Hadoop Stack (Hive, Spark), CI tools such as Jenkins / Bamboo • Can build and understand requirements and business modelling such as class diagram and activity/sequence diagram • Translate ...

Nastech Global

Java Developer

Newark, DE · On-site

$49.75 - $64.50/hr

Agile/Iterative development and full SDLC development Stored Procedures, NDMs, AutoSys Cassandra, Hadoop, Kafka, MQ Development in a Cloud environment

Omega Solutions, Inc.

Big Data Engineer

Wilmington, DE · On-site

$54 - $71.50/hr

... Hadoop, Hive), building applications using Spark frameworks. • · Understanding of AWS and at least hands on experience working in projects with AWS. Knowledge of the software development life ...

INENT INC

Chef / IaaS Engineer

Wilmington, DE · On-site

Modern Hadoop and Spark based data warehouse. Modern frameworks like Spring Boot/Integration/Batch, Axon, AngularJS, RabbitMQ, Hystrix and many more. Everything Mobile first. Must Haves Iaas platform ...

ICS Global Soft INC

Senior BigData Engineer

Wilmington, DE · On-site

$102K - $139K/yr

Hadoop, ApacheSpark, Kafka, etc. * Relational SQL, Snowflake andNoSQL databases, including Postgres and Cassandra. * Data pipeline and workflowmanagement tools: NiFi, Kylo, Luigi, Airflow, Azkaban ...

AYR Global IT Solutions Inc

Python / Spark Developer

Newark, DE · On-site

$49.25 - $67.75/hr

D. and two years of experience. 2 to 4 years' experience designing and developing in Python or Scala. 2 to 4 years' experience in Hadoop Platform (Hive, HDFS and Spark) 3 to 5 years' experience with ...

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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.
Hadoop jobs near you
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.

AIA BFS - Senior Spark Developer

Avani Technology Solutions, Inc.

Wilmington, DE • On-site

Contractor

Re-posted 16 days ago

Job description

.Job title SENIOR SPARK DEVELOPER 2.Job summary Good experience in Bigdata concepts - Good understanding of Hadoop cluster with all included services ability to solve any ongoing issues- Good operating knowledge in with Hadoop and Spark Eco System - Good knowledge on Spark job optimization and strong programming skills in SQL. Good knowledge of Big Data querying tools with Spark Experience with integration of data from multiple data sources with Spark Experience with integration of data from multiple data sources. Experience with No500 Chars 3.Experience: 5to8yrs 4.Required Skills Technical Skills- Apache Spark SparkSQL Domain Skills- 5.Nice to have skills Techincal Skills- Scala Domain Skills- 6.Technology DTDTMG888888 7.Shift Day 8.Roles & Responsibilities Sr. Developer Bachelors in science engineering or equivalent.Understand requirements build codes support testing and fix defects guide developers in the course of development activities in order to develop high standard stable codes within the limits of Cognizant and clients processes standards and guidelines..Project Planning and Set-up- Understand the project scope identify activities/ tasks task level estimates schedule dependencies risks and provide inputs to Module Lead for review Provide inputs to testing strategy configuration deployment hardware/software requirement etc. Review plan and provide feedback on gaps timeline and execution feasibility etc. as required in the project Participate in KT sessions conducted by customer/ other business teams and provide feedback on requirements Requirement Understanding and Analysis- Analyze functional/non functional requirements and seek clarifications for better understanding of requirements Based on understanding of system - upstream & downstream provide feedback and inputs on gaps in requirements and technical feasibility of requirements Design- Prepare the LLD/ detailed design documents based on HLD and briefing from Module Lead Seek inputs from the developers on specific modules as applicable Consolidate all modules and provide to Module Lead/ Architects/ Designers for review Suggest changes in design on technical grounds Develop components inventory for the code to be developed tying it to the non-functional requirements Perform sampling of data to understand the character/ quality of the data (project dependent- in the absence of data analyst or designer) Identify tools and technologies to be used in the project as well as reusable objects that could be customized for the project Coding- Follow coding standards and best practices to develop code and check code quality Share developed code with supervisor for review Rework on the code based on inputs if required Perform complex 9.Job Location Primary: USDEWIMC01-Wilmington - DE USA CLT
Hours : 8:00am to 5:00pm
Education :
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