Senior Data Engineer

Location:

2727 N Central Ave, Phoenix, Arizona 85004 United States of America

Job Duties:

• Develop, debug and support applications for big data analytics platforms;

• Designing, building, testing, implement technical architecture for big data applications;

• Develop or Implement multi-threading and distributed systems;

• Create big data pipelines using various analytics platforms;

• Work with Data Science team to implement machine learning models using various container orchestration systems;

• Demonstrate analytical and problem-solving skills in a Distributed Big Data Computing Environment;

• Train, mentor and advise team members;

• Quickly understand technical and business requirements and translate them into technical implementation;

• Apply data science or machine learning to build data-driven products for solving business problems; and

• Discuss requirements or knowledge/facts effectively with technical and non-technical members of the project team

 

Minimum Requirements:

Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics or a related field, more than five years of work experience coding software and two years of experience involving each of the following:

• Java or Scala     

• Hadoop, Kafka, Data Lake or Databricks environments.

• SQL

• Apache Spark

• Linux, Unix

• HDFS or Databricks File System (DBFS)

• Data science, data analytics, or machine learning

• Scalability analysis and performance monitoring and measuring techniques

• Hive and HBase

• Zookeeper

 

OR Bachelor’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics or a related field, more than eight years of work experience coding software and five years of progressive post-baccalaureate experience involving each of the following:

• Java or Scala     

• Hadoop, Kafka, Data Lake or Databricks environments.

• SQL

• Apache Spark

• Linux, Unix

• HDFS or Databricks File System (DBFS)

• Data science, data analytics, or machine learning

• Scalability analysis and performance monitoring and measuring techniques

• Hive and HBase

• Zookeeper

 U-Haul Offers:

• Full Medical coverage 

• Prescription plans 

• Dental & Vision Plans 

• New indoor fitness gym 

• Gym Reimbursement Program 

• Registered Dietitian Program  

• Weight Watchers  

• Onsite medical clinic for you and your family 

• Career stability 

• Opportunities for advancement 

• Valuable on-the-job training 

• Tuition reimbursement program 

• Free online courses for personal and professional development at U-Haul University® 

• Business and travel insurance 

• You Matter Employee Assistance Program 

• Paid holidays, vacation, and sick days  

• Employee Stock Ownership Plan (ESOP) 

• 401(k) Savings Plan 

• Life insurance 

• Critical Illness/Group Accident 

• 24-hour physician available for kids 

• MetLaw Legal program 

• MetLife auto and home insurance 

• Mindset App Program 

• Discounts on cell phone plans, hotels, and more 

• LifeLock Identity Theft 

• Savvy consumer wellness programs - from health care tips to financial wellness 

• Dave Ramsey’s SmartDollar Program 

• U-Haul Federal Credit Union 

• Wellness Program

U-Haul Holding Company, and its family of companies including U-Haul International, Inc. (“U-Haul”), continually strives to create a culture of health and wellness. Consistent with applicable state law, U-Haul will not hire or re-hire individuals who use nicotine products.  The states in which U-Haul will decline to hire nicotine users are: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Pennsylvania, Texas, Utah, Vermont, Virginia, and Washington. U-Haul has observed this hiring practice since February 1, 2020 as part of our commitment to a healthy work environment for our team.   

U-Haul is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, provincial, state or local law. Individual accommodations are available on requests for applicants taking part in all aspects of the selection process. Information obtained during this process will only be shared on a need to know basis.