Data Engineer

• Data Engineer
• Redwood City, CA (Hybrid — Tue–Thu onsite)
• Base salary up to $150,000 + equity

• About the jo
• bWe're partnered with a fast-growing, well-funded technology company transforming the way homes are designed, manufactured, and delivered. As the business scales across manufacturing, operations, and real estate development, they're looking for a Data Engineer to help build the data infrastructure that powers critical business decisions
• .This is an opportunity to join a growing data function as an early team member, owning data pipelines, improving data reliability, and creating visibility across operational systems. You'll work closely with Engineering, Operations, and business stakeholders to ensure teams have accurate, actionable data to support growth
• .The ideal candidate is someone who thrives in a startup environment, enjoys solving varied data challenges, and can balance strong technical execution with effective cross-functional communication

• .
• What you'll
• doOwn and maintain existing data pipelines, ensuring reliability and data qualit
• y.Build new ETL pipelines to support evolving business and operational need
• s.Improve visibility into manufacturing, inventory, and operational performance through scalable data solution
• s.Partner with stakeholders across Operations, Product, and Business teams to understand data needs and deliver solution
• s.Ensure source systems are accurate and trusted as the company scale
• s.Work with transactional databases, operational systems, and external datasets to create valuable insight
• s.Help establish best practices around data pipelines, documentation, and analytics infrastructur
• e.Ingest and manage publicly available datasets to support business initiative

• s.
• What we're looking
• for2–4 years of experience as a Data Engineer, Analytics Engineer, or similar ro
• le.Strong SQL skills with experience building and optimizing data pipelin
• es.Hands-on experience owning ETL workflows and data integratio
• ns.Experience working in fast-paced environments with broad ownership and changing prioriti
• es.Strong communication skills with the ability to partner effectively with non-technical stakeholde
• rs.A generalist mindset with the ability to solve a variety of data challeng

• es.
• Nice to h
• ave:Experience with Python, dbt, Databricks, Spark, or TypeScr
• ipt.Experience working with ERP systems such as NetSu
• ite.Background working with operational, manufacturing, supply chain, or transactional d
• ata.Experience at an early-stage or high-growth comp

any.