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Data Engineer

Discussion

What You Will Do

  • 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.


What We Are Looking For

  • 1-3 years experience as a data engineer, building core datasets and supporting business verticals as needed.
  • You have 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.

Nice to Haves

  • 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

Why Join Us

  • Be the first dedicated data engineer responsible for shaping how data is modeled, validated, and trusted across the company.
  • Build datasets that support company wide reporting and decision making as the business scales.
  • Work directly with leadership and cross functional teams to turn data into usable insight.
  • Join a mission driven team solving California’s housing shortage through design, modular innovation, and responsible development.
  • Gain equity ownership in a Series B startup positioned for rapid growth.

What We Offer

  • Salary range of $120-140K and 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.

Skills

See also

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