RADAR
Staff Data Engineer
Sunnyvale, CA · Staff+
Sponsorship not specified$200k-$260kDetected 1 day ago
PythonCode ReviewGitSQLBigQuerySnowflakeDatabricksKafkaMachine LearningSparkAirflowdbtData EngineeringData ScienceData VisualizationCustomer SuccessSensorsResearchCommunicationCollaborationMentoring
About the role
- RADAR is one of the best-funded companies in retail technology, backed by a recent Series B financing at a $1 billion valuation.
- Inventory accuracy is only the beginning.
- We believe RADAR can become foundational infrastructure for the physical economy, powering new AI-driven commerce experiences across retail and beyond.
Responsibilities
- Design, build, and maintain scalable, reliable data pipelines (batch and streaming) with Airflow, Beam, and Python - including the data quality checks, testing, monitoring, and error handling that keep them trustworthy.
- Design data models that make analytics and ML pipelines scalable, repeatable, and cost-efficient.
- Write and optimize complex SQL (CTEs, window functions) and streaming pipelines in Python.
- Partner with data science, engineering, and product to turn data needs into solutions.
- Own the technical direction of the data platform - architecture, technology, standards, and roadmap.
- Mentor data engineers and set the standards the team builds on for scalable and reliable data pipelines.
- Experience developing, maintaining, and monitoring large data pipelines with an orchestration tool (Airflow, Dagster, or dbt) for batch and a streaming framework (Apache Beam, Kafka Streams, Flink, or similar).
- Experience developing data models that support scalable, cost-effective analytics and ML pipelines.
- Experience building pipelines that support ML model training and serving.
- Meet key stakeholders across the org and start building relationships beyond your immediate team.
Requirements
- 8+ years in an Analytics Engineering or Data Engineering role, including experience setting technical direction and mentoring other engineers.
- Strong proficiency with large-scale query tools such as SQL or Apache Spark, and comfort with Python for data manipulation and building orchestration and streaming pipelines.
- Experience writing data quality checks and unit and integration tests to ensure high-quality data and analytics.
- Experience creating analytics solutions with visualization tools such as Looker or Tableau.
- Proficiency with version control (Git).
Nice to have
- Experience with modern data warehouses such as Snowflake, Databricks, or BigQuery.
- Experience with containerization tools such as Docker.
- Bachelor's or Master's degree in a relevant field, or equivalent practical experience.
Compensation
- At RADAR, your base pay is one part of your total compensation package.
Company info
- E-commerce got real-time data infrastructure decades ago. Physical stores still have not. RADAR is changing that.
- RADAR is building the data infrastructure layer for the physical world, starting with retail. Our hardware-enabled SaaS platform uses proprietary overhead sensors, software, and AI-powered analytics to locate every product in a store, continuously, down to the fixture. We are deployed across 1,400+ stores with retailers including American Eagle Outfitters and Old Navy, processing tens of billions of real-world events every day, delivering 99%+ accuracy in complex, noisy environments - at fleet scale.
- RADAR is one of the best-funded companies in retail technology, backed by a recent Series B financing at a $1 billion valuation. Inventory accuracy is only the beginning. We believe RADAR can become foundational infrastructure for the physical economy, powering new AI-driven commerce experiences across retail and beyond.
- Join us if you want to work on a large, unsolved, technically challenging problem with an ambitious team building category-defining technology.
- E-commerce got real-time data infrastructure decades ago.
- Physical stores still have not.
- RADAR is changing that.
- RADAR is building the data infrastructure layer for the physical world, starting with retail.
- Our hardware-enabled SaaS platform uses proprietary overhead sensors, software, and AI-powered analytics to locate every product in a store, continuously, down to the fixture.
- We are deployed across 1,400+ stores with retailers including American Eagle Outfitters and Old Navy, processing tens of billions of real-world events every day, delivering 99%+ accuracy in complex, noisy environments - at fleet scale.
- Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters.
- Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together.
- High Impact: You'll make meaningful contributions from day one and help shape the future of our product and company.
- Clear Communication: We value honesty, humility, and respectful dialogue-everyone's voice matters.
- Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work.
- Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints.
- Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs.
- We are looking for a Staff Data Engineer to help build and develop our analytics, Machine Learning and AI capabilities at RADAR.
- The role requires extensive collaboration with teams and functions across the company ranging from product and customer success to engineering, data science and research.
- You'll make meaningful contributions from day one and help shape the future of our product and company.
This listing is sourced directly from RADAR's careers page and normalized into a canonical job model.