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DevRev is building Computer, an AI teammate that unifies data sources, tools, and workflows into a single AI-ready platform. The company, backed by Khosla Ventures and Mayfield with $150M+ raised, is seeking a Senior Data Engineer to design and evolve the data platform powering critical business decisions and customer-facing experiences.
In this role, you will own significant portions of the data architecture that serves as the memory system for DevRev Computer's accurate and efficient answers. You'll design and operate scalable data systems while collaborating closely with Software Engineering, AI Agent teams, Data Science, and Product teams to translate complex data requirements into reliable, high-quality data products.
Key responsibilities include: owning data architecture for large-scale projects with thoughtful tradeoffs across scalability, reliability, performance, and cost; designing and operating scalable data pipelines that ingest, transform, store, and serve large data volumes; partnering with cross-functional stakeholders to understand requirements and deliver robust solutions; defining data quality, reliability, and SLA/SLO requirements; designing and optimizing data models, databases, and complex SQL workloads; building frameworks and tooling for data product development; identifying opportunities to leverage data for product and business impact; establishing engineering best practices for data systems; and mentoring engineers through technical guidance and design reviews.
You bring 5+ years of software or data engineering experience building production systems, strong programming skills in Go, Java, C++, Python, or JavaScript with strong SQL proficiency, deep understanding of data structures and algorithms, experience designing and operating production-grade data pipelines or distributed systems, and familiarity with relational and NoSQL databases. Preferred qualifications include experience with large-scale data platforms, data warehouses, cloud data infrastructure, high-throughput pipelines, distributed technologies like Kafka/Spark/Flink/BigQuery/Snowflake, and strong data quality and observability practices.
