Data Engineer
Builds and scales internal data platform by designing data models, pipelines, and analytics infrastructure to transform raw product/business data into reliable datasets for company-wide decision-making. Partners with stakeholders across Product, Engineering, Finance, Marketing, and Sales.
About the job
Responsibilities
- 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
Preferred Qualifications
- 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
Benefits
- Competitive compensation, including meaningful equity
- 100% coverage of medical, dental, and vision insurance for employee and dependents
- Generous PTO policy including company wide Winter Break
- Paid parental leave
- Company-facilitated 401(k)
Skills
Apache Beam, Kafka, Airflow, OpenTelemetry, Grafana, Data Pipelines, Semantic Layers, Batch Processing, Streaming Data, Data Modeling
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