Returning Candidate?

Big Data Engineer

Big Data Engineer

Quicken Loans Inc.

Opportunity Details

Who We Are


Could Be Your Thing


The Quicken Loans Family of Companies is obsessed with always finding a better way through the creativity, innovation and transformative thinking of our leaders and team members. We certainly have the desire and ability to adapt to a changing world. And we are known to have changed the world ourselves – from revolutionizing the mortgage banking industry, to creating new technology-driven ventures, to developing life-changing career experiences, to revitalizing the communities in which we live, work and play.


We understand that the type of people we hire have a lot to share. They are transformative thinkers who help us bring about radical change. We give our team members the creative environment, freedom to think and explore, and to advance their new ideas and thoughts. That’s why we created Bullet Time, our signature program for rapid-fire innovation that nurtures “intrapreneurs” among our tech team members.


Here, the Next Big Thing could be your thing.

What You'll Do/Need

The Data Warehouse Engineer for Big Data (DWE) is responsible for the full life cycle of the back-end development of a Hadoop data warehouse. Responsibilities include developing ETL processes, designing structured data models from unstructured datasets, and integrating data in Hadoop with an SQL Server data warehousing environment. Projects range from bringing in structured, semi-structured, and unstructured data to provide analytics and new insights that allow the business to make data-driven decisions. The DWE works closely with Business Analysts to work through business requirements and develop processes necessary to provide visibility into the data that is stored in Hadoop. The DWE helps ensure that Hadoop and MapReduce jobs are running optimally.



  • Develop ETL processes to populate a Hadoop data warehouse with large datasets from a variety of sources, and integrate Hadoop within an SQL Server data warehousing environment
  • Create MapReduce programs in Java or Python, and leverage tools like Pig and Hive to transform and query large datasets
  • Assist with Hadoop administration to ensure the health and reliability of the cluster
  • Monitor and troubleshoot performance issues on a Hadoop cluster
  • Follow the design principles and best practices defined by the team for data warehousing techniques and architecture


  • Bachelor’s degree in computer science or equivalent experience
  • Two years experience with Hadoop (includes Hive and Pig)
  • Two years working in a Linux environment
  • Two years of programming experience (Java or Python preferred)
  • Two years of experience with SQL and relational databases
  • Demonstrated ability to performance-tune MapReduce jobs
  • Strong analytical and research skills
  • Demonstrated ability to work independently as well as with a team
  • Ability to troubleshoot problems and quickly resolve issues
  • Strong communication skills

What’ll Make You Special

  • Experience administering a Hadoop cluster
  • Experience using SQL Server

What You'll Get

  • Excellent benefits package that includes a 401(k) match, medical/dental/vision, and much more
  • Opportunities to participate in professional and personal development programs, including personal empowerment coaching, leadership training and ongoing personal growth training
  • Other incentives, contests and rewards, including trips, event tickets, cash prizes and more


Why We're Different


Corporate politics not your strong suit? The anti-corporate culture of Quicken Loans gives our team members the initiative to build solutions together and grow both personally and professionally. At Quicken Loans, we’re in the business of putting roofs over our clients’ heads, but we certainly aren’t putting ceilings on our team members’ careers. If you’re interested in working in a place with a philosophy that’s truly different, apply today.


Quicken Loans is an equal opportunity employer.


Quicken Loans received the highest numerical score in the proprietary J.D. Power 2010 – 2016 Primary Mortgage Origination studies and the 2014 – 2016 Primary Mortgage Servicer studies. 2016 Origination (or Sales) based on 5,182 total responses and measures experiences and perceptions of consumers who originated a new mortgage, surveyed in July – August 2016. 2016 Servicing based on 7,542 total responses and measures experiences and perceptions of consumers with their current mortgage servicer, surveyed in March – April 2016. Your experiences may vary. Visit​

Stay Connected

Not ready to apply? Click here to create a profile and stay connected with Quicken Loans and our Family of Companies.