Senior Data Engineer

Design and operate experimentation data infrastructure, including A/B testing pipelines, metric definitions, and significance tooling Build catalog and content management data integrations across the Global Skilling product surface Lead semantic model design for product analytics in partnership with Reporting and Analytics teams Build and maintain external (end-customer) reporting pipelines for ASN and partner-facing products Operate Insights and Analytics feedback loops, including pipelines that surface usage patterns, customer feedback, and product signals to engineering teams Mentor Data Engineer II (DE II) engineers on telemetry design, experimentation practices, and product-engineering partnership approaches Provide on-call leadership for product-tier pipelines (severity levels 1-3) Embody our Culture and Values Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years of experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years of experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience 5+ years of experience building production data systems on Azure (ADLS, Synapse, Fabric, or Databricks) or comparable cloud platforms Demonstrated experience instrumenting product telemetry and owning end-to-end data contracts with product engineering teams Experience with experimentation platforms, A/B testing data, or feature-flag analytics infrastructure Demonstrated distributed systems fundamentals; experience with PySpark, SQL, and pipeline orchestration Experience mentoring mid-level engineers Master's degree in Computer Science, Engineering, or related technical field Experience building external or end-customer reporting (e.g., ASN partner reporting) Experience designing semantic models for product analytics and decision support Experience with AI-driven telemetry discovery (e.g., agent-assisted instrumentation, anomaly detection, intelligent feedback loops)