Data Engineer at Samara in San Francisco, CA

Summary: Samara is a company focused on addressing California’s housing shortage by providing sustainable housing solutions. They are seeking a Data Engineer to take ownership of their 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, SQL, Cloud Solutions Important Skills: Data Modeling, Data Pipelines Nice-to-Have Skills: Communication, Adaptability Benefits: 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.