• Você fará parte do time de Data Platform, dentro da tribo de Data & Analytics da RD Station, que tem como missão democratizar o uso de dados e transformá-los em um diferencial competitivo para nossos clientes. • Estamos evoluindo nosso Framework de IA, criando uma infraestrutura padronizada (Paved Path) que permita aos times de Machine Learning desenvolver e colocar modelos em produção com mais velocidade, confiabilidade e governança. • Seu desafio será atuar na construção e evolução dessa plataforma, garantindo escalabilidade, padronização e qualidade nas soluções de dados e IA. • Desenvolver e evoluir pipelines de dados e IA de forma escalável e padronizada; • Projetar e implementar soluções de engenharia de dados em ambiente cloud (Google Cloud Platform); • Construir componentes reutilizáveis, como frameworks, operadores e templates; • Garantir boas práticas de engenharia, incluindo testes automatizados, versionamento e CI/CD; • Integrar serviços da plataforma (BigQuery, Cloud Storage, Vertex AI, entre outros); • Contribuir com decisões arquiteturais considerando performance, custo e governança; • Colaborar com times de dados, engenharia e IA para garantir alinhamento técnico e de negócio.

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.

Role Description We’re seeking technical talent who are driven to challenge themselves and deliver best‑in‑market SaaS solutions. You’ll join a fast‑paced, collaborative environment that encourages growth, adaptability, and continual skill development. Your impact will be tangible as we build innovative solutions for the moments that matter most to our customers. The Cloud Data Architect is responsible for delivering results for the Engineering department by: - Envisioning the data architecture required to deliver our best of class products into a SaaS environment. - Ensuring that data is secure, fast, modeled, accessible and works with the software. - Being a leader at DFIN who is both highly technical but also business savvy. - Actively participating in the engineering process- anticipating our future needs. Responsibilities - Set Standards on Data Usage: - Set, communicate, and govern technical standards throughout the product development organization. - This includes the standards for the data architecture itself and working closely with our delivery teams in setting standards of how the work gets done. - Advance our Cloud Data Architecture: - Drive the creation and implementation of architecture standards and artifacts. - Collaborate with the Engineering team to develop the architecture, build the backlog, and adjust the design as necessary. - Collaborate with the Product Management and Engineering Leadership team to ensure the voice of data architecture is part of our SaaS architecture. - Solve difficult data modeling, optimization, location and other problems. - Analyze the risks, benefits, and opportunities associated with the implementation of a solution. - Be Diligent about Planning and Design: - Translate product requirements to system level architecture and high-level designs. - Work with senior technical team (technical leads, principal engineers, etc.) to develop detailed designs. - Have a Flexible mindset: - Deliver solutions in small steps, with incremental feedback loop from internal and external stakeholders. - Flexible and able to adjust or change direction as the business environment and technology universe evolves and changes. Qualifications - Advanced proficiency in SQL for query optimization and analytics (e.g., on Azure Synapse, Oracle, or Snowflake). - Familiarity with cloud platforms (e.g., Azure, OCI) and tools like Azure Data Factory, Databricks, or Apache Airflow. - Expert in data strategy - creating and managing a platform data approach. - Design scalable data architectures aligning with business goals. - Implement data governance, security, and compliance frameworks. - Optimize data pipelines for performance and cost-efficiency. Experience Level - 7–10+ years of experience in data engineering, architecture, or related roles, with a focus on cloud and big data technologies. Certifications - Highlight relevant certifications like Microsoft Certified: Azure Data Engineer Associate, Databricks Certified Associate Developer for Apache Spark, or Certified Data Management Professional (CDM). Nice to have - Hands-on experience with data lakes (e.g., Azure Data Lake Storage, Delta Lake) and lakehouse architectures. - Expertise in DataBricks and/or Apache Spark (PySpark, Spark SQL) for distributed data processing. - Strong Python skills for scripting, automation, and pipeline development. Company Description At DFIN, we are a values-driven organization that empowers you to build a fulfilling career while bringing your authentic self to work every day. Our “Win as One” mentality ensures that our team’s success is directly linked to Client, Shareholder and Employee Satisfaction. - Recognized as one of AMERICA'S MOST LOVED WORKPLACES® for five consecutive years. - A Built In Best Places to Work for six years. - Committed to our employees’ total well-being. - Enjoy competitive compensation, a flexible workplace, comprehensive benefits, and opportunities for professional growth.

Role Description This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and Seattle/WA. As a Staff Software Engineer, you will be a key technical leader responsible for the design, implementation, and maintenance of WEX's data lake platform. This role is central to our vision of creating a unified, scalable, and intelligent data infrastructure that supports both traditional analytics and next-generation AI/ML technologies. - Drive the technical development of the platform, ensuring our systems, services, and tools are built with a strong focus on security, quality, reliability, performance, and scalability. - Work closely with other senior engineers and teams across the organization, including Data & Analytics and Information Security, to understand business needs and guide the design, development, and productionalization of our data platform. - Make a real business impact by solving large-scale, complex problems in a fast-growing tech company. - Mentor the next generation of engineers. Responsibilities - Platform Strategy & Leadership: Lead the technical vision, architecture, and strategy for the Data Lake platform. Drive the development roadmap to deliver a platform that meets both near-term business needs and long-term strategic goals. - Technical Execution & Innovation: Design and lead the implementation of our data lake platform and services. Challenge the status quo, championing innovative technical solutions that leverage data, AI, and modern engineering practices. - Cross-Functional Partnership: Partner closely with solutions architecture, product, and engineering teams to deeply understand business needs and design effective solutions. Collaborate with information security to ensure data privacy and access controls are a core part of the platform's design. - Mentorship & Team Development: Serve as a technical mentor to engineers, providing guidance on engineering principles, best practices, and skills. Foster a culture of continuous learning, innovation, and accountability for quality results. - Stakeholder Communication: Report on the status of development, quality, and system performance to management and partners. Advise senior leadership on complex technical initiatives and drive projects to achieve defined OKRs. Qualifications - 10+ years of experience in software design and development, with a focus on building large-scale, distributed systems. - Strong hands-on experience in software development, architecture, deployment, and production operations, preferably with Java / J2EE (Spring/Spring Boot). - Proficiency in languages like Python is highly desirable. - Deep expertise in building and operating Big Data platforms and large-scale data lakes. - Experience with Data Lakehouse formats such as Apache Iceberg, Apache Hudi, or Delta Lake is a significant plus. - Strong understanding of modern data processing tools and services (e.g., Spark, AWS Glue, dbt, Apache Polaris). - Extensive experience with cloud architecture and services, including AWS (S3, EMR, Kubernetes, Lambda) and Azure. - Deep understanding of CI/CD automation, modern development tools, and frameworks. - Proven ability to lead and guide engineering teams, acting as a technical mentor and thought leader. - Excellent analytical skills with a proven ability to identify and resolve complex technical problems. - Strong written and verbal communication skills, with a philosophy of continuous improvement. - Bachelor's degree in Computer Science or a related technical field. A higher degree is a plus. Desired Attributes - Platform Engineering Focus: Strong background in building and operating platforms, frameworks, and foundational services for data teams. - Framework Development: Creating reusable libraries, REST APIs, and services that abstract complexity and accelerate feature development for other data engineers and data scientists. - Platform Ownership: Taking end-to-end ownership of core platform components, including performance tuning, cost optimization, security hardening, and reliability improvements. - Infrastructure as Code (IaC): Deep familiarity with tools like Terraform or CloudFormation for provisioning and managing cloud-native data infrastructure. - Operational Excellence: Designing for operational stability, implementing robust monitoring, alerting, and logging systems, and driving adoption of self-service tooling. - Enabling Data Mesh Principles: Experience in building centralized governance, discovery, and quality tooling that enables decentralized data ownership (data domains). - Data Engineering Expertise: Experience designing, building, and optimizing modern ETL/ELT pipelines using tools like dbt, Apache Airflow, and cloud-native services. Benefits - Health, dental and vision insurances - Retirement savings plan - Paid time off - Health savings account - Flexible spending accounts - Life insurance - Disability insurance - Tuition reimbursement - Comprehensive and market competitive benefits designed to support your personal and professional well-being. Pay Range $185,000.00 - $217,400.00