Data Engineer / FinTech

phoenix, Arizona



$60/hr - $75/hr

Big Data Engineer
A client of ours in the financial space is looking to hire a Big Data Engineer to join their team. You will be responsible for developing and designing software applications as well as modifying existing applications to meet business requirements. This will be a hybrid role with the expectation to go onsite 1-2 days a week in North Phoenix.
Required Skills & Experience
  • 5+ years of software development experience
  • 3+ years of experience with Map-Reduce, Hive, Spark
  • Hands-on experience writing and understanding complex SQL
  • Experience in UNIX shell-scripting
  • Bachelor’s degree in Engineering or Computer Science or equivalent
What You Will Be Doing
Tech Breakdown
  • 100% Data Engineering
Daily Responsibilities
  • 100% Hands On

Applicants must be currently authorized to work in the US on a full-time basis now and in the future. This role cannot be done on a C2C basis.

You will receive the following benefits:

  • Medical Insurance - Four medical plans to choose from for you and your family
  • Dental & Orthodontia Benefits
  • Vision Benefits
  • Health Savings Account (HSA)
  • Health and Dependent Care Flexible Spending Accounts
  • Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance
  • Hospital Indemnity Insurance
  • 401(k) including match with pre and post-tax options
  • Paid Sick Time Leave
  • Legal and Identity Protection Plans
  • Pre-tax Commuter Benefit
  • 529 College Saver Plan

Motion Recruitment Partners is an Equal Opportunity Employer, including disability/vets. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under Motion Recruitment Employment Accommodation policy. Applicants need to make their needs known in advance.

Posted by: Julie Bennett

Specialization: Data Engineering