Jobspring is soon moving its website to join parent company, Motion Recruitment, for a significantly improved and expanded user experience. Please go now to

Jobspring Partners: Talent in Action

Senior Data Engineer / Java / Scala / Hadoop / Spark

Apply for this job
Share this:

Senior Data Engineer / Java / Scala / Hadoop / Spark

A Fortune 100 company in Phoenix is looking for multiple experienced Data Engineers (ranging from mid level to senior) to join one of their growing teams on a contract-to-hire basis. As part of this group you will be working on some of their core data driven applications with a focus on Java and Hadoop engineering.

To be successful in this you thrive in a fast-paced environment and come to the table having worked on enterprise-level applications, preferably consumer-facing. You are fluent in Java programming and a major plus for working experience with Scala. The Hadoop/Spark toolsets are needed as well and cloud experience in AWS will put you to the front of the pack. 

If you are looking to challenge yourself with modern data engineering technologies in a large scale data environment, apply today!

Required Skills & Experience

  • 5+ years of experience with Java programming (mix of Java and Python is acceptable)
  • 3+ years of experience within a Hadoop/Spark environment
  • Prior work on large, mission critical applications within an enterprise environment
  • Knowledge of tools like HDFS, HBase, Hive, Flume, MadReduce, Sqoop, Kafka, etc.
  • Experience with data ingestion and transformation
  • Working experience in an agile environment
  • Knowledge of the modern SDLC
  • Understanding of modern security concerns within software development
  • Excellent communication – oral and written
  • Bachelor’s degree in computer science

Desired Skills & Experience

  • Knowledge of AWS scripting and automation for CI/CD
  • Cloud experience within AWS (S3, EMR, etc.) or Azure
  • Strong experience with Kafka
  • Exposure to other noSQL technologies like MongoDB, Cassandra, etc.
  • Experience with data collection from large-scale and/or public APIs

What You Will Be Doing

Tech Breakdown

  • 60% Data pipelines – Java, Scala, Kafka
  • 30% Database structures – Hive, HDFS
  • 10% Production & QA

The Offer

  • Competitive Pay: Up to $90/hour, DOE
  • Contract Duration: 6 Months with conversion potential

You will receive the following benefits:

  • Medical Insurance & Health Savings Account (HSA)
  • 401(k)
  • Paid Sick Time Leave
  • Pre-tax Commuter Benefit


Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.


Jobspring Partners, part of the Motion Recruitment network, provides IT Staffing Solutions (Contract, Contract-to-Hire, and Direct Hire) in major North American markets. Our unique expertise in today’s highest demand tech skill sets, paired with our deep networks and knowledge of our local technology markets, results in an exemplary track record with candidates and clients.

Apply for this Job

Stephen Schmall is leading the search for this position. Use the button below to send us your resume and let us know you’re interested in the job!

Apply to this job
Senior Data Engineer / Java / Scala / Hadoop / Spark
  • Stephen Schmall

  • Practice Manager
  • Jobspring Phoenix - SWD

Great! You're interested!

Use this form to send me your resume, and my team and I will review it for this job:

Senior Data Engineer / Java / Scala / Hadoop / Spark

So you know, this isn't the only job like this we're working on. We'll review your resume for every relevant job that comes in!


  • Jobspring Partners

Thank you

Your information has been received.

One of our teams will give it a careful look for the Senior Data Engineer / Java / Scala / Hadoop / Spark job, and for every other relevant position we’re working on right now, too.
If it looks like we can help you out, you’ll hear from us shortly!

Return to Search Results Close

Send to a Friend

If you know someone who'd be interested in this job, send them a link so they can check it out.

Thank You!

Your note about the position number: 396445 has been sent to your friend

Return to Search Results