Job Description

Data processing/ big data engineer -14376 


We’re a science and technology company with a very human mission. Our client is looking for a Big Data Engineer for their San Jose, CA Location. This is a contract position.




Build real-time big data pipeline

Not doing analytics (not front end. This is BE)


Required Skills:

·        Back end Java

·        Spark - plus

·        EMR- plus

·        stream processing -plus

·        4 -10 yrs. big data processing experience

·        Distributed systems experience

·        Database can be Hadoop, Cassandra, mongo and any NoSQL dB - does not matter which one

·        important note - the technology does NOT matter.

·        looking for someone who has worked in building data platforms. ie :  ingesting, housing data the data ----( so that other people can use it for analytics)


Position logistics:


·        6-12 Month Contract


What’s in it for You:

·        Competitive pay for contact with excellent stability and opportunity for growth.

·        Great opportunity to enhance or solidify your skills with an excellent, diverse and experienced team.

·        Work on multiple projects allows you to get experience with a variety of technologies and teams.


About Maxonic:

Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges.  Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long term career needs of our candidates.  We take pride in the over 5,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients.


Interested in Applying?

We can’t wait to see your resume.  Please apply below with your most current resume and anything else you’d like us to know about you – commute preferences, desired work environments, etc.  We promise to get back to you within 24 hours.  Or you can feel free to email Jalpa Mehta (Mani- or call 408-739-4900 x 125.



Key Words: Data Pipeline, Big Data, Spark (Plus), Back end