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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Shape the future of Geospatial AI by developing cloud-native services and backend systems. Collaborate with top engineers and data scientists to deliver innovative solutions that transform vast data i...
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Pioneer the administration and development of core business systems, focusing on ServiceNow. Collaborate with cross-functional teams to create scalable solutions that enhance operations, service, and...
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Take ownership of designing and implementing bespoke AI solutions, serving as a trusted technical advisor throughout the client journey. Collaborate with teams to enhance integration and optimize auto...
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Lead the technical vision for user communication systems, driving cross-functional collaboration to enhance engagement and retention through scalable, reliable platforms that leverage AI for improved...
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Engage stakeholders to deliver innovative training programs on Direct Tax Compliance solutions. Collaborate with teams to enhance learning experiences through various formats, ensuring alignment with...
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Advance program success by leading contract performance, managing risks, and ensuring compliance across multiple task orders while engaging with key stakeholders and overseeing subcontractor performan...
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Unlock potential by designing and implementing Epic clinical systems to enhance research workflows, collaborating with clinical teams to optimize processes and ensure data integrity in a remote settin...
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Principal Software Engineer - Loom
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Drive innovation by owning customer-facing products end to end, leading technical strategy, and shaping product direction. Collaborate across teams to build AI-native experiences that enhance user eng...
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Staff Software Engineer, Tech Lead - NetBox Delivery
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Staff Software Engineer, Developer Infrastructure (Test Infrastructure)
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Innovate solutions in Salesforce Health Cloud, collaborating with teams to enhance functionality and user experience while leveraging your technical expertise in JavaScript and Node.js to resolve issu...
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Senior Software Engineer, Backend (Identity Data)
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Principal Security Engineer - Information Security
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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.