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.
$110K - $130K *
Join a team that's redefining data engineering by building scalable AI solutions. Collaborate with experts to transform complex data into impactful, production-ready models while embracing innovation...
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Today
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Join a team that's dedicated to developing innovative web and cloud applications. In this role, you'll lead projects, mentor junior engineers, and collaborate with cross-functional teams to deliver hi...
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Unlock potential by leading the architecture and development of scalable core platform systems that process transactions and integrate with financial institutions globally. Drive innovation and mentor...
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Drive data excellence by designing, developing, and maintaining ETL/ELT pipelines across various platforms, ensuring quality and reliability to support analytics and AI workflows in a collaborative, d...
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Transform backend services and REST APIs in a collaborative environment. Leverage your software engineering skills to support cyber training initiatives, utilizing modern technologies and cloud infras...
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Senior Software Engineer, Data Infrastructure
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Transform our data infrastructure by leading design and deployment of scalable systems. Collaborate with cross-functional teams to enhance data management, mentor engineers, and shape our technical ro...
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Transform data ecosystems by leading strategic initiatives for data warehouses, analytics tools, and governance, driving impactful solutions for complex business challenges at scale while mentoring en...
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Lead the development of robust blockchain data systems, enhancing performance and reliability. Collaborate with teams to deliver impactful solutions that improve data quality and user experience while...
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Elevate our software engineering capabilities by designing and building modern, cloud-native data pipelines. Collaborate with diverse teams to ensure seamless project delivery and advocate for best pr...
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Ecosystem Operations Specialist
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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.