Data Engineer
Liliuokalani TrustHonolulu, Hawaii, United States
Posted January 30, 2026
74000 - 86000 USD
Full Time
About the Company
Liliuokalani Trust (LT) is a private operating foundation founded in 1909 by Hawaiʻi's last reigning monarch, Queen Liliuokalani, to support the most vulnerable Native Hawaiian children. LT delivers comprehensive social services across Hawaii, focusing on Early Childhood (ages 0–5), Youth Development (ages 6–18), and Opportunity Youth (ages 16–26) through regional kúpuka and flagship programs such as LT Ranch, Lydia House, and the Liliuokalani Center. The organization blends social work, real‑estate stewardship, finance, and research & evaluation to create sustainable, culturally grounded opportunities that empower children to lead healthy, prosperous lives. LT distinguishes itself with a pioneering “Total Rewards” program that offers unlimited flexible time off, weekly wellness time, and a paid sabbatical after five years, attracting high‑performing professionals committed to its mission of fostering community impact.
Job Description
We are seeking a highly skilled Data Engineer with experience in data architecture, integration, and analytics. The primary objective of this role is to design, develop, and maintain data systems and pipelines that ensure the efficient processing, storage, and analysis of medium to large datasets.
Requirements
- Design, develop, and maintain scalable data pipelines and ETL processes.
- Integrate data from various sources, including Salesforce Non Profit Cloud, external API’s and raw flat files.
- Develop and maintain data models and data warehouses using Snowflake or similar platforms.
- Write efficient SQL queries for data extraction, transformation, and reporting.
- Create dashboards and visualizations using Tableau or similar BI tools.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Ensure data quality, integrity, and security across systems.
- Document data processes and provide training to end-users.
- Stay current with industry trends and emerging technologies in data engineering.
Benefits
- Competitive salary
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
