• Develop, construct, and sustain scalable, fault-tolerant data pipelines for essential business and product data.

• Acquire data from various sources including APIs, databases, event streams, and external services.

• Create and oversee data models and storage solutions that facilitate analytics and downstream applications.

• Collaborate with analytics, product, and engineering teams to provide clean, well-documented datasets.

• Establish monitoring, logging, and alerting systems to guarantee pipeline reliability, performance, and cost-effectiveness.

• Uphold data governance best practices.

• 3+ years of experience as a Data Engineer, data-focused Backend Engineer, or a comparable role.

• Proficient programming skills in Python and/or TypeScript, along with strong SQL expertise.

• Solid understanding of data modeling, ETL/ELT principles, and analytics processes.

• Practical experience with data warehouses (e.g., BigQuery, Snowflake).

• Experience in constructing and managing production data pipelines.

• Competitive compensation

• Strong growth opportunities

Data Engineer

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