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Hadoop Engineer Jobs (NOW HIRING)

Euclid Innovations

Hadoop Engineer

Charlotte, NC · On-site

Euclid Innovations is seeking a Hadoop Engineer to work on data integration and analytics solutions. The role involves developing complex enterprise-wide information technology solutions utilizing ...

Collabera LLC

Hadoop Engineer

Chicago, IL · On-site

Hadoop Engineer Location: Chicago,IL (Hybrid Local only ) Work Arrangement: Hybrid Client Industry: Banking Duration: 12 Months Contract About the Role We are Seeking a Hadoop Engineer (SME) to ...

Apex Systems

Hadoop Engineer

Chicago, IL · On-site

Job#: 3045787 Hadoop Engineer Location: Chicago, Illinois (Onsite) Role Overview We are seeking a Hadoop Engineer to support NextGen Platforms built around Big Data Technologies. This role is ...

Apex Systems

Hadoop Engineer

Chicago, IL · On-site

Job#: 3045786 Hadoop Engineer Location: Chicago, IL/ Charlotte NC (Hybrid) Duration: 3 months Role Overview We are seeking a Hadoop Engineer to support NextGen Platforms built around Big Data ...

Decision Wave

Hadoop Developer - Full-Time

San Jose, CA · On-site

$120K/yr

Hadoop Engineer Duration : Long term Location : San Jose, CA Rate : $120K PA We are looking for Hadoop Engineer. Prior working experience in Payments or e-commerce domain will be a plus. Required ...

Decision Wave

Hadoop Developer - Full-Time

San Jose, CA · On-site

$120K/yr

Hadoop Engineer Duration : Long term Location : San Jose, CA Rate : $120K PA We are looking for Hadoop Engineer. Prior working experience in Payments or e-commerce domain will be a plus. Required ...

Deegit Inc

Hadoop Engineer

Sunnyvale, CA · On-site

Company Description Hadoop - MapReduce, Hive, Kafka or any messaging software, Computer Science fundamentals, Java, Python or any other scripting language, Qualifications Additional Information All ...

Jobsbridge

Senior Hadoop Engineer

Chicago, IL · On-site

Lead development experience with Hadoop, Spark, Pig, Hive, HBase, Kafka Lead development experience with Java, Scala, Ruby or other programming languages Strong Unix and shell scripting skills ...

V-CENTRIX-US LLC

Hadoop Admin (SME)

Chicago, IL · On-site

Hadoop Engineer (SME) role supporting NextGen Platforms built around Big Data Technologies (Hadoop, Spark, Kafka, Impala, HBase, Docker-Container, Ansible and many more). Requires experience in ...

Jobsbridge

Java Hadoop Engineer

San Diego, CA

... engineering staff regarding the client enterprise architectural landscape Excellent verbal and written communication skills. Qualifications Strong Java, NoSQL,Hadoop,Pig, Hive, Mahout Additional ...

Jobsbridge

Sr. Hadoop Engineer

San Jose, CA

Company Description Intelliswift Software, Inc 10+ years of computer science/engineering ... Hadoop, Falcon, Sqoop, Flume, Hive, Hcatalog, Spark, and Oozie) and integration into other ...

Jobsbridge

Data / Hadoop Engineer

Austin, TX · On-site

RESPONSIBILITIES Experience and knowledge of big data technologies such as Hadoop, HBase, Hive is required. Spark and Kafka experience is nice to have. Develop reports, dashboards and metadata layers ...

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How much do hadoop engineer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for hadoop engineer in the United States is $63.20, according to ZipRecruiter salary data. Most workers in this role earn between $55.29 and $73.80 per hour, depending on experience, location, and employer.

What is a Hadoop engineer?

A Hadoop Engineer is responsible for designing, developing, and maintaining big data solutions using the Hadoop ecosystem. They handle tasks such as data ingestion, storage, processing, and analysis using tools like HDFS, MapReduce, Hive, Spark, and HBase. Hadoop Engineers also optimize performance, ensure data security, and troubleshoot system issues. Their role is crucial in managing large-scale data processing pipelines for organizations that rely on big data analytics.

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

To thrive as a Hadoop Engineer, you need a solid understanding of distributed computing, big data frameworks, and programming skills in languages such as Java, Python, or Scala, often supported by a bachelor's degree in computer science or a related field. Familiarity with Hadoop ecosystem tools like Hive, Pig, HBase, Spark, and experience with cloud platforms or Hadoop certifications (e.g., Cloudera, Hortonworks) are highly valued. Analytical thinking, problem-solving ability, and effective communication are key soft skills that help in diagnosing issues and collaborating with cross-functional teams. These competencies are vital to efficiently manage and optimize large-scale data processing systems, ensuring robust data solutions for business needs.

What are the common challenges Hadoop engineers face in their daily work, and how can they prepare for them?

Hadoop Engineers often encounter challenges such as optimizing the performance of large-scale data processing jobs, troubleshooting complex issues within distributed systems, and ensuring data security and reliability. Staying up-to-date with evolving data processing frameworks, maintaining efficient cluster management, and balancing resource utilization are also common hurdles. Preparing for these challenges involves continual learning, hands-on experience with various Hadoop ecosystem tools, and proactive communication with team members to resolve issues quickly. By cultivating resilience and problem-solving skills, engineers can turn these challenges into opportunities for professional growth and innovation.

Is a Hadoop Engineer a good career?

A Hadoop Engineer is a specialized role focused on designing, implementing, and maintaining big data solutions using Hadoop and related tools like Spark and Hive. It is a growing field with high demand for skills in data processing, distributed systems, and cloud environments, often offering competitive salaries and opportunities for advancement. Success in this career typically requires strong programming, data management, and problem-solving skills, along with relevant certifications or experience.

What is the salary of a Hadoop engineer?

The salary of a Hadoop engineer varies based on experience, location, and certifications, but typically ranges from $80,000 to $150,000 annually. Senior roles with advanced skills in big data tools and cloud platforms tend to offer higher compensation.
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Hadoop Engineer jobs near you
Infographic showing various Hadoop Engineer job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $131,458 per year, or $63.2 per hour.

Hadoop Engineer

Euclid Innovations

Charlotte, NC • On-site

Full-time

Re-posted 16 days ago

Job description

Job Summary:
Euclid Innovations is seeking a Hadoop Engineer to work on data integration and analytics solutions. The role involves developing complex enterprise-wide information technology solutions utilizing the Hadoop ecosystem.
Responsibilities:
• Hadoop Developer
• Spark
• Hive
• Data Integration
Qualifications:
Required:
• Hadoop Developer
• Spark
• Hive
• Data Integration
• 5+ years of application development and implementation experience
• 5+ years of experience delivering complex enterprise-wide information technology solutions
• 3+ years of reporting experience, analytics experience or a combination of both
• 4+ years of Hadoop development/programming experience
• 5+ years of operational risk or credit risk or compliance domain experience
• 5+ years of experience delivering ETL, data warehouse and data analytics capabilities on big-data architecture such as Hadoop
• 6+ years of Java or Python experience
• 5+ years of Agile experience
• 5+ years of design and development experience with columnar databases using Parquet or ORC file formats on Hadoop
• 5+ years of Apache Spark design and development experience using Scala, Java, Python or Data Frames with Resilient Distributed Datasets (RDDs)
• 2+ years of experience integrating with RESTful API
• Excellent verbal, written, and interpersonal communication skills
• Experience designing and developing data analytics solutions using object data stores such as S3
• Experience in Hadoop ecosystem tools for real-time & batch data ingestion, processing and provisioning such as Apache Spark and Apache Sqoop
• Ability to work effectively in virtual environment where key team members and partners are in various time zones and locations
• Ability to interact effectively and confidently with senior management
• Knowledge and understanding of project management methodologies: used in waterfall or Agile development projects
• Knowledge and understanding of DevOps principles
• A BS/BA degree or higher in information technology
Company:
Euclid Innovations specializes in product development, application development, risk management, computational solutions, and DevOps. Founded in 2009, the company is headquartered in Charlotte, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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