Analytics Engineer, LatAm

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Homeward

201 - 500 employees

🏠 Real Estate

💸 Finance

💳 Fintech

Real Estate • Finance • Fintech

Homeward is a real estate company that offers innovative solutions for home buyers and sellers. They provide services that allow clients to make cash offers on new homes before selling their current homes, thus avoiding the traditional contingency-based offers. Homeward enables a more flexible home-buying experience, supporting both home buyers and real estate agents with tools to secure homes in competitive markets by leveraging cash. The company focuses on providing market value offers for sellers and facilitating quick and smooth transitions to new homes for buyers, without sacrificing potential profits in traditional market sales.

📋 Description

• Own the health and reliability of data pipelines, identifying issues and implementing durable solutions • Design, develop, test, and optimize scalable dimensional data models and data marts using dbt • Structure data models around abstract business definitions • Architect the data environment for AI-readiness • Evaluate tooling and validation processes for dbt models and AI-enabled data workflows • Partner with Product and Technology teams on application and system changes and data dependencies • Translate business stakeholder analytical needs into scalable analytics-platform solutions • Develop domain expertise and serve as technical point of contact for data models, metrics, and workflows • Establish monitoring, testing, documentation, and data-quality practices • Improve data architecture and recommend practical solutions

🎯 Requirements

• Strong experience in analytics engineering, data engineering, business intelligence, or a similar data-focused role • Advanced proficiency in SQL and dimensional data modeling • Experience designing scalable analytical datasets • Hands-on experience building and maintaining production data models and semantic layers using dbt • Experience owning or supporting data ingestion and transformation pipelines, diagnosing failures, and improving reliability • Experience designing scalable, maintainable, usable data architecture • Experience with AWS or comparable cloud data environments • Experience with Looker, Hex, Tableau, or equivalent BI and analytics platforms • Working knowledge of Python and orchestration tools such as Airflow • Understanding of data governance, metric definitions, data quality, documentation, lineage, and access • Familiarity with modern AI/LLM applications and AI-enabled data tooling • Ability to translate business concepts into maintainable technical models • Ability to independently investigate ambiguous or complex data issues • Ability to communicate with technical and non-technical stakeholders • Must be based in Latin America • Meaningful overlap with U.S. Central Time business hours • Not eligible for U.S. visa sponsorship or relocation

🏖️ Benefits

• Computer reimbursement • Competitive hourly rate • Fully remote work • Meaningful overlap with U.S. Central Time business hours

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