Hadoop Engineers build and maintain the systems organizations use to store, process, and analyze massive datasets. Browse vetted Hadoop Engineer opportunities on Ladders, including professional roles with salaries of $100,000 or more. Find positions that match your experience in distributed computing, data infrastructure, and large-scale analytics.
Hadoop Engineers design, develop, and support data platforms built around the Apache Hadoop ecosystem. Their work can include creating reliable data pipelines, managing distributed storage and compute environments, improving processing performance, and helping data teams access trustworthy information. Depending on the organization, the role may also involve cloud migration, platform security, monitoring, and production support.
Employers often look for experience with Hadoop components such as HDFS, YARN, and MapReduce, along with tools including Spark, Hive, Kafka, and Airflow. SQL, Python, Java, or Scala may be useful for data processing and integration. Familiarity with Linux, cloud platforms, data modeling, orchestration, and infrastructure automation can also help candidates stand out. Requirements vary by role and employer.
Hadoop Engineers work across industries that rely on high-volume data, including financial services, healthcare, technology, retail, and telecommunications. Related job titles may include Big Data Engineer, Data Platform Engineer, Data Infrastructure Engineer, and Distributed Systems Engineer. As organizations modernize their data environments, experience connecting Hadoop workloads with cloud-native and modern analytics platforms can open additional career paths.
Use Ladders to explore vetted professional opportunities and identify Hadoop Engineer roles aligned with your technical background and career goals. Review each listing for its responsibilities, required experience, location, and compensation details. Ladders focuses on jobs paying $100,000 or more, helping experienced professionals discover their next opportunity in data engineering.
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Lead the development of advanced simulation capabilities to validate technology and services, ensuring alignment with internal teams and managing customer requests while integrating external tools for...
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What does a Hadoop Engineer do?
A Hadoop Engineer builds, operates, and improves distributed data systems. Typical responsibilities include maintaining data storage and processing platforms, developing data pipelines, tuning performance, and supporting analytics teams.
What skills are commonly required for Hadoop Engineer jobs?
Requirements differ by employer, but commonly requested skills include Hadoop ecosystem tools such as HDFS, YARN, MapReduce, Hive, and Spark, plus programming or scripting, SQL, Linux, and experience with data pipelines. Cloud and orchestration skills may also be valuable.
What is the difference between a Hadoop Engineer and a Data Engineer?
A Hadoop Engineer generally focuses on distributed data platforms and technologies in the Hadoop ecosystem. A Data Engineer has a broader scope that may include designing pipelines, warehouses, and cloud data systems using a wider range of tools.
What industries hire Hadoop Engineers?
Hadoop Engineers may find opportunities in technology, finance, healthcare, retail, telecommunications, and other sectors that process large or complex datasets.
Are Hadoop Engineer jobs available on Ladders?
Ladders features vetted professional job opportunities, including roles in data engineering and related fields, with salaries of $100,000 or more. Availability varies, so check current listings for openings that match your experience.