Staff/Senior Data Engineer

Simbe Robotics

. Own the design, implementation, and scaling of analytics infrastructure .

Posted 9/15/2026full-timeBurlingame • California • United StatesSenior💰 $135,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing scalable analytics infrastructure, with a strong focus on DataOps best practices and data security. Proficient in managing data ingestion and delivery processes while ensuring compliance with regulatory standards.

Highest-signal resume keywords

SQLBigQueryDataOps Best PracticesDbtGCP

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data WarehousingData ModelingPythonTerraformApache BeamAirflowEvent-Driven AnalyticsData SecurityGDPR CompliancePII Compliance

Soft Skills

Excellent CommunicationOwnershipAccountabilityCross-Functional CollaborationAutonomy

Tools & Technologies

PostgresGoogle Cloud StorageJiraBigQueryDbt

Industry Keywords

DataOpsAnalytics InfrastructureCloud Systems DesignRegulatory ComplianceData Governance

Tech Stack

Tools & technologies

AirflowApacheBigQueryCloudGoogle Cloud PlatformPostgresPythonSQLTerraform

About the role

Key responsibilities & impact

Own the design, implementation, and scaling of analytics infrastructure
Form the foundation of a cohesive analytics ecosystem
Empower analytics engineers and data scientists to independently create metrics using DataOps best practices
Interface with the application database team to improve the overall cloud ecosystem
Enable scalable sharing of large volumes of data with clients
Ingest data from Postgres, Google Cloud Storage, Jira, web analytics platforms, and other sources into BigQuery
Use dbt to transform raw data into user-friendly data marts for AI and BI tools
Guide data ingestion from and delivery of data to clients
Establish scalable and traceable inbound feeds and large outbound data delivery
Monitor and control data warehousing costs
Improve synergies between application databases and the data warehouse
Establish a robust dbt data testing framework
Produce metric definitions and documentation
Champion DataOps practices across teams
Help ensure appropriate account permissions across the data consumption layer
Implement controls supporting GDPR, PII, SOC 2, and other regulatory compliance

Requirements

What you’ll need

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 transactional versus analytical databases
Excellent communication skills across cross-functional teams
Autonomous and independent, with strong ownership and accountability
Ability to champion best practices and ensure consistent adoption
Strong foundation in SQL and Python
Demonstrable experience implementing data warehouses
Mindset for cloud systems design
Must currently reside locally in the San Francisco Bay Area
Bachelor's or master's degree in Computer Science or related field highly recommended, not required

Benefits

Comp & perks

Equity compensation may be included in the total compensation package
Full range of medical benefits
Financial benefits
Other benefits
Incentives
Well-being support
Dynamic and inclusive culture
Opportunity to work with cutting-edge AI and robotics technologies
Work with a team reshaping the future of retail