Data Engineer (Entry Level)

Jun 23 2018
Job Description

We are looking for a savvy Data Engineer to join our growing team of analytics experts!

The ideal candidate is locally based in Hawaii and and possess the following qualities:

  • Interest in data analytics, technology, and problem solving.
  • Excellent communication, analytical, interpersonal, and organization skills required.
  • Organizational and time management skills with the ability to adjust to changing priorities in a fast-paced environment.
  • Creative mindset.
  • Seeking growth opportunity.
  • Positive 'can do' attitude.
  • Team player.


  • Partner with various parts of the organization to build a working knowledge of the organization, business, processes, and its customers.
  • Utilize tools such as SQL, Python, R, Tableau, develop data assets that support organizational decision making via prototyping, data discovery, data munging, etc.
  • Leverage data mining tools & techniques to analyze large amounts of data identifying relationships and patterns within the data.
  • Solve a range of core business and technical questions through data analysis.
  • Collaborate with a high-performing, forward-focused team and Business stakeholders’.
  • Expand your communication, analytical, interpersonal, and organization capabilities.
  • Experience working in a fast-paced environment and driving business outcomes in Agile ways of working.
  • Enable and influence the timely and successful delivery of business data capabilities and/or technology objectives.
  • Enhance your entrepreneurial mindset; network opportunity and influencing outcomes.
  • Supporting environment that fosters can-do attitude and opportunity for growth and advancement based on consistent demonstrative performance.
  • Optimize business value by leveraging your DATA experience and depth.
  • Driving work independently or collaboratively towards achieving business outcomes.


  • Bachelor’s degree
  • Desired majors include, but are not limited to: Computer Science, Engineering, IT, Management Information Systems, Data Analytics, Applied Mathematics, and Business.
  • Prior Data Analysis and/or Data Engineer competencies.
  • Understanding of current and emerging IT products, services, processes and methodologies.
  • Require working knowledge of database concepts, SQL skills, relational database.
  • Prefer working knowledge of ETL process and familiarity with data integration tools and techniques.


  • Health & Wellness Plans
  • Matching 401(k) Plan
  • Paid Time Off
  • Paid Holidays
  • Paid Every Friday
  • Employee Assistance Program (EAP)
  • Supplemental Health Insurance (AFLAC)
  • Employee Discounts (e.g. Gym membership, Cellular service, Legal Assistance plan, etc.)

Supervisory Responsibilities