$130K – $165K/yr
Staff/Senior Data Engineer
Pay vs market · Bottom quarter
This job's pay ($152,500 a year at the midpoint) is higher than about 25% of 57 salary-listed Data Engineer jobs in United States in the last 12 months; their median is $190,000.
Role overview
Job description
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.
About this listing
- Source: Simbe Robotics's official careers site (via Lever) · last confirmed on the source 6 Nov 2026
- Posted 15 Sept 2026
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Role market pulse
How Data Engineer demand looks in United States
Live jobs
210
Posted 30d
160
30d movement
+344.4%
Remote share
21.4%
Salary listed
77.1%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
Qualification
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
Department · Data Science, ML/CV
Hiring company
Simbe Robotics
View the company profile, current openings and hiring details.
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