Data Engineer

Summary: Samara is focused on tackling California’s housing shortage and enabling sustainable housing solutions. The Data Engineer will take ownership of the data platform, ensuring high-quality datasets that support decision-making across the business. Responsibilities: - Build and Own Core Datasets. Design and maintain datasets that serve as sources of truth for key business reporting and decision making. Ensure datasets are accurate, consistent, and understandable by a broad set of stakeholders - Explore and Understand Source Systems. Develop a working understanding of source systems such as NetSuite, Salesforce, Autodesk Construction Cloud, Bill.com, and other operational platforms. Understand how data is generated and how it maps to business processes - Design Scalable Data Pipelines. Build, maintain, and monitor production data pipelines that meet current analytical needs and scale as data volume and complexity increase - Enable Access to High Quality Data. Help democratize access to reliable operational and financial data across Finance, Operations, and go-to-market teams. Ensure data products are well documented and suitable for self-service analytics - Continuously Expand Analytical Coverage. Identify opportunities for new tables, metrics, and derived datasets that unlock additional insight. Evaluate work based on clarity and usefulness to decision-makers - Establish Data Standards and Best Practices. Evolve standards for data modeling, testing, documentation, and ownership Required Qualifications: - 1-3 years experience as a data engineer, building core datasets and supporting business verticals as needed - Hands-on experience shipping scalable data solutions in the cloud (e.g AWS, Databricks, DBT), across multiple data methodologies (e.g dimensional modeling, data marts, medallion schemas) - Strong SQL and Data Modeling Skills. Advanced SQL proficiency with experience designing analytical data models that support reporting and analytics use cases - Comfort exploring source systems and tracing data through multiple layers of transformation - Ability and willingness to learn new systems, tools, and business domains. Comfortable working in environments where requirements and priorities evolve Preferred Qualifications: - Experience integrating financial, ERP, CRM, or payment systems such as NetSuite, Salesforce, Bill.com or similar tools - Comfort in aggregating data from multiple sources, with proficiency in handling APIs, geospatial imagery/aerial photography, unstructured web data, and public governmental records - Experience supporting feature engineering, forecasting, or AI-adjacent analytics - You don't need to be an AI expert, but you're curious and willing to adopt AI tools to work smarter and deliver better results Required Skills: Data Engineering, AWS, Databricks, DBT, Dimensional Modeling, Data Marts, Medallion Schemas, SQL, Data Modeling, NetSuite, Salesforce, Bill.com, API Integration, Geospatial Imagery, Unstructured Web Data, Financial Systems Integration, ERP Systems Integration, CRM Systems Integration Benefits: Performance-based bonuses, Hybrid work schedule with 3 days each week in our Redwood City office, Snacks and Lunch on days in-office, Early stage employee equity, Exceptional health, dental, and vision insurance, 401k eligibility after 6 months, Flexible PTO policy