Data Engineer

• Design, build, and maintain scalable data pipelines and analytics architecture across cloud and on-prem environments
• Develop reliable analytical data models that transform raw data into business-ready datasets.
• Define, implement, and own key business metrics, including semantic layers and supporting data structures.
• Ensure high data quality and reliability by identifying inconsistencies, resolving data issues, and improving monitoring and governance practices.
• Partner with product, operations, finance, and GTM teams to understand analytics needs and deliver actionable insights.
• Manage and optimize data pipeline orchestration, including third-party data ingestions and cost/performance improvements.
• Lead end-to-end ownership of major reporting domains, ensuring accuracy, health, and long-term scalability.
• Contribute to data engineering standards, documentation, and best practices.
• Mentor junior team members and support a culture of continuous improvement.
• Participate in incident response, on-call rotations, and post-mortems, proactively improving system reliability.

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Senior Data Engineer