Job description

San Francisco Bay Area (Hybrid — Burlingame office 2-3x/week required) Must currently reside locally; this is not a remote-eligible role. Simbe Robotics is a leading retail robotics company providing in-store intelligence solutions that help retailers optimize operations, improve shelf execution, and deliver valuable data insights. Our autonomous robots and multi-modal data collection systems are transforming how retailers manage inventory and make data-driven decisions. Position Overview The Data Engineer in will own the design, implementation, and scaling of our analytics infrastructure to form the foundation of a cohesive analytics ecosystem. This role also empowers analytics engineers and data scientists to follow DataOps best practices to independently create metrics. Additionally, the Data Engineer will interface with the application database team to synergistically improve the overall cloud ecosystem, enabling scalable ways to share large volumes of data with clients. The ideal candidate will have demonstrable experience implementing data warehouses, a strong foundation in SQL and Python, and a mindset for cloud systems design. Leveling (Senior or Staff) will be determined through the interview process based on your background and technical depth. Key Responsibilities: Data Warehousing Ingest data from Postgres, Google Cloud Storage, Jira, web analytics platforms, and other sources into BigQuery. Use Data Build Tool (dbt) to transform raw data into user friendly “data-marts” for use by AI and BI tools. External Data Exchange Guide the organization on how data is ingested from and delivered to clients. Establish the infrastructure for scalable and traceable inbound feeds (product catalogs, planograms) and large outbound delivery (reporting extracts, cloud-native data sharing) Optimizing and Monitoring Cloud Costs Monitor and implement controls to ensure data warehousing costs are predictable and within reasonable levels. Unlock synergies between the application database and data warehouse to deliver timely insights and reduce overall cloud costs. Data Quality & Governance Use dbt to establish a robust data testing framework that ensures data remains accurate and trustworthy, while also producing a comprehensive suite of metric definitions and documentation accessible to anyone in the organization. Champion DataOps best practices across teams to cultivate a consistent, high-quality approach to data management and analytics. Security & Compliance Help ensure account permissions remain appropriate and enforced across the data consumption layer. Implement controls to ensure the data warehouse maintains compliance with GDPR, PII laws, SOC 2, and other regulations Qualifications Technical Qualifications Bachelor's or master's degree in Computer Science or related field highly recommended, not required 5+ years of experience with SQL, BigQuery, Terraform, Apache Beam, Airflow, and GCP Hands-on expertise with dbt and event-driven analytics highly desirable Experience & Abilities: Proven experience implementing and owning data warehouses end-to-end Track record of data modeling for analytical use cases Background empowering peers through DataOps best practices Strong emphasis on data security and governance Deep understanding of the strengths and weaknesses of transactional vs. analytical databases Soft Skills: Excellent communication skills; able to convey complex technical concepts across cross-functional teams Autonomous and independent, with strong ownership and accountability Able to evangelize and champion best practices, ensuring alignment and consistent adoption across the org At Simbe, you will be at the forefront of retail innovation, working with cutting-edge AI and robotics technologies to transform retail operations. Our culture is dynamic, inclusive, and driven by a passion for improving the way retailers operate and serve their customers. Join us to be a part of a team that is not only reshaping the future of retail but also offering immense value to our clients worldwide. Simbe Values: R. E. T. A. I. L. Result Driven - We are customer-centric and results-driven. We strive to create immense value for our team, partners, customers, and investors. Empathetic - We are sensitive and mindful. We support each other in challenging times, both professionally and personally. Transparent - We highly value open communication internally, and with our partners and customers. We are receptive to feedback. Agile - We are agile and always eager to learn. We quickly adapt to changes and customer needs. Innovative - We are bold and innovative, with an intense focus on product design and user experience. Leaders - We strive for excellence. We are accountable, the best at what we do, and leaders in our field.

Requirements

Must-haves

San Francisco Bay Area (Hybrid — Burlingame office 2-3x/week required)
Must currently reside locally; this is not a remote-eligible role.
Position Overview
Leveling (Senior or Staff) will be determined through the interview process based on your background and technical depth.
Data Warehousing
Ingest data from Postgres, Google Cloud Storage, Jira, web analytics platforms, and other sources into BigQuery. Use Data Build Tool (dbt) to transform raw data into user friendly “data-marts” for use by AI and BI tools.
External Data Exchange
Optimizing and Monitoring Cloud Costs
Data Quality & Governance
Security & Compliance
Help ensure account permissions remain appropriate and enforced across the data consumption layer. Implement controls to ensure the data warehouse maintains compliance with GDPR, PII laws, SOC 2, and other regulations
Technical Qualifications
Bachelor's or master's degree in Computer Science or related field highly recommended, not required
5+ years of experience with SQL, BigQuery, Terraform, Apache Beam, Airflow, and GCP
Hands-on expertise with dbt and event-driven analytics highly desirable
Proven experience implementing and owning data warehouses end-to-end
Track record of data modeling for analytical use cases
Background empowering peers through DataOps best practices
Strong emphasis on data security and governance
Deep understanding of the strengths and weaknesses of transactional vs. analytical databases
Excellent communication skills; able to convey complex technical concepts across cross-functional teams
Autonomous and independent, with strong ownership and accountability
Able to evangelize and champion best practices, ensuring alignment and consistent adoption across the org
Simbe Values: R. E. T. A. I. L.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonpostgresjiraaigcpagile

Platform: lever
Effort: quick