Data Engineer

Details

• Design and maintain core data models and semantic layers
• Develop and orchestrate batch and streaming data pipelines using technologies such as Apache Beam, Kafka, Airflow, or similar frameworks
• Analyze inference and infrastructure telemetry, including data from OpenTelemetry, Grafana, and other observability tools
• Define and maintain company-wide metrics across product usage, performance, and customer lifecycle
• Enable self-service analytics through agents and tools, with well-structured semantic layers and context
• Ensure data reliability and quality through testing, documentation, and governance
• Understanding of inference metrics such as latency, throughput, token usage, and model performance
• Experience supporting B2B SaaS and/or consumption-based platforms
• Application of forecasting and predictive modeling (e.g., ARIMA, Prophet) to business processes
• Competitive compensation, including meaningful equity.
• 100% coverage of medical, dental, and vision insurance for employee and dependents
• Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
• Paid parental leave
• Fertility and family-building stipend through Carrot
• Company-facilitated 401(k)
• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.