Data Systems Engineer

Date: Jun 4, 2023

Location: Honolulu, Hawaii (HI), US, 96813

Company: hawaiianel

We recognize our competitive advantage -- our people. We believe in our people, who share our vision of meeting the needs of our employees, customers, and communities and who carry out the continued success of the company.


Our employees are committed to the company's foundational values: integrity, excellence, teamwork, environmental stewardship, and community commitment. In turn, we invest in our employees, providing opportunities for challenge and advancement and offering a competitive compensation package.


Posting End Date:  at 11:59PM HST



The P EB ENTERPRISE DATA & ANALYTICS Department of the P ENTERPRISE ARCHITECTURE & PLANNING Division at Hawaiian Electric Company has 2 Management vacancies available. This position may be filled on Oahu, Maui, or Hawaii Island. (Role: PROFESSIONAL)



The Data Systems Engineer works with large, diverse, and multifaceted data sets to assemble and integrate them into a standardized platform using state-of-the-practice ELT (Extract, Load, Transform) tools and technologies. They create data pipelines used by data analytics teams, data consumers and data-centric applications with a focus on BI/Analytics system optimization to maximize the use of data as an enterprise asset. This senior role is part of the enterprise analytics “hub” and leads the architecture and technology development of the Enterprise Data Analytics Platform (EDAP) and mentors teams to maximize the use of technologies and data models to solve complex business problems across Hawaiian Electric Company, Hawaii Electric Light Company and Maui Electric Company (the Companies).



  • Data Engineering:
    • Creates data architectures for Business Intelligence (BI) & analytics systems (warehouses, data lakes, applications), developing logical and physical data models; building, managing, and optimizing data pipelines and then moving these data pipelines effectively into production for key data and analytics consumers across the enterprise.
    • Defines and manage standards, guidelines, and processes to ensure enterprise architecture alignment, evaluate data quality, and delivers data and code quality inspections.
    • Supports data analytics and Machine Learning for statistical modeling and provides inputs for complex Data Science and Big Data Mining projects across the enterprise.
  • Data Operations (Data Ops):
    • Utilizing Continuous Integration/Continuous Delivery (CI/CD), automation, and agile methods to design, develop, implement, optimize and secure the Enterprise Data Analytics Platform (EDAP), Business Intelligence applications and enterprise data frameworks.
  • Data Solution Management:
    • Applies data and/or domain understanding in addressing new data requirements, proposes appropriate and innovative data ingestion, preparation, integration, operationalization techniques and scalable solutions to optimally deliver effective solutions (Use Cases) and solve complex business problems.
    • Leads and automates processes to turn data into useable information employing coding and containerization.
    • Supporting and collaborating with other data professionals (developers, architects, analysts, scientists) to ensure optimal data delivery architecture and to ensure that data-driven applications are production-ready and adopted by the business.
  • Organizational Data Governance & Capability Development:
    • Coaches and trains data analytics community (such as data scientists, data analysts, business users or any data consumers) in data pipelining and preparation techniques to make it easier to integrate and consume the data they need for their own use cases.
    • Promote the available data and analytics capabilities and expertise to business unit leaders and other community of practice members and educate them in leveraging these capabilities in achieving their business goals.
    • Lead and or support ensuring compliance and governance during data use and ensure that the data users and consumers use the data provisioned to them responsibly through data governance and compliance initiatives.
    • Proactively monitors industry, functional, and technology trends, guiding business partners on emerging opportunities and new technology/product development and supports and maintains multi-year data analytic plans, roadmaps and strategy for leadership consumption.
  • Remain available for both scheduled and unscheduled work. Said work is occasionally required outside normal business hours and on weekends.
  • Participates in Company emergency response activities as assigned, including any activities required to prepare for such emergency response.



Knowledge Requirements

  • A bachelor's degree in data analytics, data science, computer science, management information systems, business analysis, business management, engineering, finance, statistics, or related fields (or equivalent work experience) is required.
  • Requires thorough knowledge in building and optimizing data pipelines and architectures working with large, heterogeneous datasets from multiple sources across the enterprise.
  • Understanding of distributed computing, cloud technologies with Azure experience preferred.
  • Familiarity with Agile Methodology, DevOps, and experience leading cross-functional teams in a dynamic environment.
  • Working knowledge of utility business, business and/or engineering principles & practices preferred.
  • Extensive knowledge, experience, and ability to design, code, test, troubleshoot, and implement programs, stored procedures, forms, reports, interfaces, workflows, batch jobs, etc. preferably using Pyspark or Python.
  • Strong knowledge of popular database programming languages including SQL, NoSQL, Dataverse, and others for nonrelational databases.
  • Thorough experience working with popular data discovery, analytics and BI software tools like Power BI, Tableau, and others for semantic-layer-based data discovery.
  • Knowledge/familiarity with SAP and SAP related products/technologies related to Business Warehouse or Analytics Cloud with working knowledge of daily processing, development, and Break/Fix support preferred.
  • Experience in commercial/open-source data discovery/analysis platforms for “Big Data” with preference for: Spark, Databricks ML, with thorough knowledge and practical experience using Databricks for Machine Learning/Data Science strongly preferred.
  • Working knowledge of statistical methods and data mining techniques (predictive modeling, segmentation, regression, etc.) and experience in working with data science teams in refining and optimizing data science and machine learning models and algorithms.


Skills Requirements

  • Demonstrated leadership and interpersonal skills (effective written, oral and listening communication) in order to work effectively with all levels of the company and with outside contractors and consultants.
  • Demonstrated strong analytical skills and thorough Data Literacy with the ability to describe business use cases/outcomes, data sources and management concepts, analytical approaches/options and solve business problems with advanced analytical solutions.
  • Ability to communicate complex information to technical and non-technical audiences, facilitate multi-level briefings and superior presentation skills, including storytelling and other techniques to guide and inspire.
  • Ability to conceptualize new ideas quickly and ability to learn new technologies on the job.
  • Communicates difficult concepts and negotiate adoption of new perspectives across the enterprise while mentoring teams and facilitating knowledge transfer.


Experience Requirements

  • Extensive (7+ or more) years experience in data management disciplines including data integration, modeling, optimization, and data quality, and/or other areas directly relevant to data engineering and analytics.
  • Several (3-5) years experience with project management, working in cross-functional teams with business stakeholders, in support of multi-departmental data management and analytics initiatives is preferred.
  • Electric utility experience and Azure, Databricks, SAP, Big Data, Cloud based architecture experience is desirable.
  • Data Analytics/product or industry certification is desired.




Number of Vacancies: 2 

Work Schedule: Monday - Friday

Work Hours: 7:30 am - 4:00 pm

Location: Oahu, Maui, or Hawaii Island. 

Hiring Range: The hiring range for the Data Systems Engineer [Req ID 8384] position is $115,900.00 to $150,600.00. The person selected will be placed according to his/her skills and qualifications. 


About Hawaiian Electric Companies
Hawaiian Electric Companies provide electricity and services to 95 percent of the state's 1.4 million residents. The company is also one of the state's leading employers and a major contributor and supporter of community and educational programs.


The demand for power that has fueled the growth of the Hawaiian Islands has been met by Hawaiian Electric Companies for well over a century. And as the next millennium unfolds, the company is committed to providing quality service and seeking clean local energy sources to power generations of Hawaii families and businesses to come. Visit us at


Interested individuals should apply online. The application must clearly indicate the demonstrated experience/knowledge/skills/abilities the candidate possesses which specifically qualifies him/her for the position.


Should there be no candidates with this experience, the company may consider applicants without such experience who meet the knowledge/skill requirements. If such a candidate is hired, he or she will initially be placed on a development plan commensurate with his/her education and experience level.


Applicant Certification
By submitting an application for the position, candidates:
1. Authorize the Hawaiian Electric Companies to confirm all statements contained in the application and/or any materials submitted and made a part of the application as they relate to the position and to the extent permitted by law;
2. Authorize and consent to, without reservation, the Hawaiian Electric Companies sharing any and all information regarding previous or present employment, educational training or personal information from their records and from any other source with the hiring department or subsidiary company;
3. Release, discharge, and hold harmless, Hawaiian Electric Companies, from any and all liability for any damage which may be claimed as a result of furnishing such information to the hiring department or subsidiary company;
4. Authorizes release and transfer of all personnel records to be maintained by the hiring company in the event of an inter-company transfer; and
5. Authorize, direct, and consent to Hawaiian Electric Companies and/or its authorized agents to conduct investigations into candidates' background. These investigations may include, but are not limited to searches for information about applicants; record of criminal convictions to the extent permitted by law, education records, professional certifications, personal character references, and employment history.


EEO Statement
Hawaiian Electric Companies is an equal employment opportunity/affirmative action employer. We actively seek diversity among our employees. We do not discriminate on the basis of age, race, color, religion, sex/gender (including gender identity/expression), ancestry/national origin, disability, marital status, arrest and court record, sexual orientation, pregnancy, veteran status, genetic information, domestic or sexual violence victim status, or other protected categories in accordance with state and federal laws. We further encourage individuals with disabilities, minorities, veterans and women to apply.


Hawaiian Electric Companies complies with Title I of the Americans with Disabilities Act. Any request for reasonable accommodation needed during the application process should be communicated by the candidate to the HR Service Center at (808) 543-4848.


Affiliate Disclaimer
Hawaiian Electric Company, Inc., Maui Electric Company, and Hawaii Electric Light (“Company”) are Hawaii Public Utilities Commission (“PUC”) regulated companies. The disclosure relating to Affiliate Transaction Requirements that follows is made pursuant to the PUC’s Decision and Order No. 35962, issued on December 19, 2018, and subsequently modified by Order No. 36112, issued on January 24, 2019 in Docket No. 2018-0065.

By submitting your application, you understand and acknowledge that, if you are hired by the Company and subsequently transferred, assigned or otherwise employed by an Affiliate, said Affiliate will be required to make a one-time payment to the Company in an amount up to twenty-five percent (25%) of your base annual compensation.  

In addition, if you are hired by the Company and subsequently transferred, assigned or otherwise employed by an Affiliate or an Affiliate-Related Entity, for a period of one year, you cannot appear in negotiations or otherwise interact directly with the Company or work on the same matter that you worked on while with the Company. 

Affiliate is defined as “any person or entity that possesses an ‘affiliate interest’ in a utility as defined by section 269-19.5, Hawaii Revised Statutes (“HRS”), including a utility’s parent holding company, except as otherwise provided by HRS section 269-19.5(h).”

Affiliate-Related Entity is defined as “a third party that provides electricity-related services in a regulated utility’s service territory that has a material financial, operational, or ownership interest with an unregulated affiliate of the utility and of whom the utility has reasonable knowledge.” 

For a current list of all Affiliates and Affiliate-Related Entities, please see:

This list may be amended, updated or revised from time to time without notice.  

Nearest Major Market: Honolulu
Nearest Secondary Market: Hawaii