Role overview

Data Engineer

Requirements and responsibilities

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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.
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Browse stack
FocusData and AnalyticsRole area
Seniority signalOpen levelCandidate level
StackSparkPrimary skills
Location1 accepted countryEligibility

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