Company Description REMAX Hawaii (formerly Better Homes and Gardens Real Estate Advantage Realty) provides comprehensive residential real estate services across Oahu and Maui. Celebrating 20 years of doing business in Hawaii, locally owned REMAX Hawaii has 6 offices across Oahu and Maui in Kahala, Kailua, Kakaako, Haleiwa, Kapolei and Wailuku with over 200 employees and licensed agents. They have created a clear strong corporate culture which has been a key to the growth and success of our company. Their agents and support staff are client centric and put the clients’ needs ahead of their own. Their core values of honesty, transparency, collaboration, commitment, charity, innovation and strong work ethic are communicated to the agents and employees from the initial interview and throughout every company interaction Voted Hawaii’s Best Real Estate Firm the past 13 years and a Best of Honolulu Company for 11 years. The company was also recognized as one the Best Places to Work by Hawaii Business magazine for the 6th year in a row. Learn more at http://remaxhawaii.com Job Description In your role as a real estate data entry operator, you will play a crucial role in upkeep and updating our database. In order to maintain correct and current records, you will be responsible for accurately entering a variety of data. The ideal candidate for this role will have strong organizational skills, a sharp eye for detail, and the capacity to work independently in a remote setting. Pay: $26.81 - $29.97 per hour Responsibilities - Update and add transactions, client information, and real estate data to the database. - Examine and amend data to make sure it is accurate and comprehensive. - Collaborate with your teammates to resolve any discrepancies found in the data. - Be mindful of privacy and abide by data security regulations. - Assist in creating reports and presentations using the data acquired. - Performing secretarial duties entails filing, monitoring office supplies, scanning, and printing as needed. Qualifications - A high school certificate or its equivalent; a bachelor's degree is ideal but not necessary. - Solid background in data entry or a related field. - Strong command of the language and procedures used in real estate. - A strong command of computers, including the MS Office suite and data input programs. - Remarkable precision and attention to detail. - The capacity to operate autonomously with little guidance. - Outstanding organizing and time management skills. - Good communication abilities, particularly while working in a remote team. Additional Information REMAX Hawaii is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law. All your information will be kept confidential according to EEO guidelines.

Senior Data Engineer Location: Remote, US based Position type: TBD Job Summary Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and beyond. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management. We have a diverse, global team of consultants, all working remotely, embodying a collaborative, inclusive, and innovation-driven work culture. As part of our growth and upcoming initiatives, we are proactively searching for Senior Data Engineers to support future projects and platform modernization efforts across our client portfolio. Position Summary The Senior Data Engineer will play a key role in supporting the transition and modernization of the client’s data platform. The position will focus on pipeline migration, operational stabilization, and the implementation of a dbt-based transformation framework within a Snowflake environment. This role will work closely with the Lead Data Architect and the client’s engineering team, participating in knowledge transfer sessions. Key Responsibilities: - Develop and maintain ELT pipelines using Snowflake, Python, and Apache Airflow - Implement data ingestion and transformation logic for batch and incremental pipelines - Convert existing SQL transformations into dbt models - Implement dbt testing frameworks (schema, relationship, freshness tests) - Participate in pipeline walkthroughs and knowledge transfer sessions with the existing team - Document data pipelines and operational procedures - Support the transition from vendor-managed pipelines to Data Meaning ownership - Monitor production pipelines and data workflows - Troubleshoot pipeline failures and operational issues - Improve monitoring, alerting, and operational reliability - Implement automated data validation and quality checks - Support the development of a data quality framework Required Skills & Qualifications: - Advanced/fluent english - 8+ years of experience in Data Engineering - Hands-on experience with Snowflake - Experience working with Apache Airflow - Strong SQL (advanced) skills - Strong Python programming skills - Experience building: ELT pipelines, Data warehouse transformations, Batch and incremental, pipelines, Data ingestion pipelines - Experience working in cloud environments (AWS preferred) Nice to Have - Experience implementing dbt - Experience with data platform migrations - Experience with data pipeline performance optimization

• Develop and maintain the Enterprise Data Architecture blueprint, covering all data layers (Landing Zone, Raw, Curated, Semantic, Sandbox). • Define and manage enterprise data models (conceptual, logical, and physical). • Design, implement, and expand the semantic layer to serve as the enterprise single source of truth (SSOT). • Deliver governed data marts, curated datasets for AI/ML pilots, and advanced data products. • Establish and enforce data governance standards, including data lineage, metadata, and business glossary frameworks. • Ensure full compliance with Saudi data regulations (PDPL, NDMO, SAMA/IA). • Implement role-based access controls, PII masking, and auditable security measures. • Achieve measurable BigQuery cost optimization (partitioning, clustering, caching, etc.). • Reduce reporting cycle time and improve dashboard accuracy. • Integrate unstructured and semi-structured data (logs, documents, IoT) into governed data models. • Work closely with Data Quality, Data Science, and RPA teams to support cross-functional initiatives. • Conduct workshops and provide best-practice guidance to internal teams. • Mentor and support junior data analysts to build internal capabilities. • Drive alignment on KPIs and definitions across business units for consistent reporting. • Enable data monetization by preparing reusable curated datasets and APIs. • Contribute directly to business ROI through cost savings, improved insights, and faster data-driven decision-making. • Deliver clear documentation, blueprints, and governance playbooks as part of the engagement.

• Structure and evolve Data Lake environments, ensuring scalability and data governance; • Design and build modern, modular data warehouses prepared for growth and high performance; • Develop resilient data schemas and architectures following data engineering best practices; • Define and evolve data architecture, ensuring reliable, scalable, and well-structured environments; • Perform exploratory data analysis and support the development of predictive models; • Contribute to building data-driven recommendation mechanisms and processes; • Support business squads with structured, reliable data ready to generate value; • Act as a technical reference, mentoring and developing more junior professionals; • Collaborate actively with the team to solve complex problems and turn data into decisions.