Hadoop/Bigdata Engineer

San Jose, CA, us on site Until 8/21/2026 First posted February 23, 2026 Last posted February 23, 2026
Job description

8+ years people or technical leadership or equivalent experience leading a team or working in a team oriented collaborative environment 

BS/MS or other relevant technical degree 

5+ years of solid Hadoop experience working with large data sets as well as Hadoop cluster environments. 

Familiar with Hadoop tools/languages such as Python, Pig, Hive, Hadoop Streaming, Sqoop, Oozie, Spark, Flume, Kafka, etc. 

Solid understanding of MapReduce and how the Hadoop Distributed File System works 

Experience with Statistical Modeling, Data Mining and/or Machine Learning is a plus 

Understanding of enterprise ETL tools such as Ab Initio/Informatica/Talend is beneficial 

Understanding of Hadoop Infrastructure is preferable but not required 

Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef, Puppet) 

Understanding of Relational Databases (RDBMS), SQL & No-SQL (Mongo, Neo4J) databases 

Strong analytical skills, problem solver, and attention to detail 

Results driven and ability to coordinate and prioritize multiple tasks in a fast-paced environment 

Motivated self-starter who can take charge of complex tasks with limited direction 

Strong verbal/written communication and presentation skills

Hadoop cluster, ETL tools, Java, Linux, Apache, Perl/Python/PHP, Chef, Puppet

Multiple Openings 

About this role

Summary

Lead and develop big data solutions using Hadoop, Spark, and related tools.

Job title

Hadoop/Bigdata Engineer

Experience level

8+ years

Industry

software

Location requirements

San Jose, CA, US; remote not specified

Salary

Not specified

Management role

Yes

Skills & keywords

Required skills

hadooppythonpighivesparkmapreducelinuxjavasql

Preferred skills

statistical modelingdata miningmachine learningetl toolsnosql databases

Specializations

hadoopbig dataetlmapreducespark
Locations

Structured locations inferred from the posting.

San Jose, CA, USA

On-site City