Staff/Senior Data Engineer

Simbe; United States; On-site; USD 130,000 - 170,000; Full time

Job summary

Simbe is seeking a Data Engineer to own the design, implementation, and scaling of our analytics infrastructure, enabling data-driven decisions across the organization. You will build and optimize our data warehouse, implement DataOps practices, and collaborate with data scientists and engineers to deliver reliable metrics and insights.

The role emphasizes data governance, security, and cost efficiency within a cloud-first analytics ecosystem.

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

Responsibilities

• Data Warehousing: Ingest data from Postgres, Google Cloud Storage, Jira, web analytics platforms into BigQuery and transform into data-marts.
• External Data Exchange: Establish scalable inbound feeds and outbound data sharing with clients.
• Optimizing and Monitoring Cloud Costs: Implement controls to keep data warehousing costs predictable.
• Data Quality & Governance: Use dbt to implement data tests and a governance framework across teams.
• Security & Compliance: Ensure access controls and GDPR/PII/SOC 2 compliance across the data layer.

Skills

SQL

BigQuery

Terraform

Apache Beam

Airflow

GCP

dbt

Event-driven analytics

Education

Bachelor's or Master’s in CS or related

Job description

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The base salary offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including equity compensation, in addition to a full range of medical, financial, and/or other benefits.

Simbe's approach emphasizes total rewards - base pay, equity, incentives, and benefits - rather than viewing compensation as cash alone. We believe the full package, including ownership through equity and well-being support, is what drives engagement, retention, and alignment with our mission.