DevRev
Senior Data Engineer
Austin, Texas, United States · Senior
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About the role
- This role is ideal for an experienced engineer who enjoys solving challenging problems involving large-scale data, distributed systems, database architecture, and performance optimization.
- You will have significant technical ownership and the opportunity to influence the direction of our agentic data platform while helping raise the engineering bar across the team.
Responsibilities
- Own data architecture for large-scale, high-impact projects, making thoughtful tradeoffs across scalability, reliability, performance, maintainability, and operational cost.
- Design, build, and operate scalable data pipelines and data systems that reliably ingest, transform, store, and serve large volumes of data.
- Partner closely with Software Engineering, Data Science, Product Management, and other stakeholders to understand data requirements and translate them into robust technical solutions.
- Define and own data quality, reliability, and SLA/SLO requirements for datasets and systems within your area of ownership.
- Design and optimize data models, databases, and complex SQL workloads, with a strong focus on query performance, storage efficiency, and scalability.
- Build frameworks, tooling, and reusable infrastructure that make it easier for engineers and data consumers to develop and maintain data products.
- Mentor engineers through technical guidance, design reviews, and actionable feedback, while contributing to a strong engineering culture.
- You will own significant parts of our data architecture that is main powerhouse of DevRev Computer's memory for accurate and efficient Answers.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Strong programming experience in one or more general-purpose languages such as Go, Java, C++, Python, or JavaScript, along with strong SQL skills.
- Strong understanding of data structures, algorithms, and software engineering fundamentals.
- Experience designing and operating production-grade data pipelines or distributed data systems.
- Experience working with relational and/or NoSQL databases and understanding their underlying performance and scalability characteristics.
Nice to have
- Experience designing large-scale data platforms, data warehouses, or distributed data systems.
- Deep understanding of database architecture, data modeling, query optimization, indexing, partitioning, and storage systems.
- Experience with cloud data infrastructure and databases, including understanding of performance, scalability, reliability, and cost tradeoffs.
- Experience working with large datasets and optimizing complex SQL queries and data processing workloads.
- Experience with distributed data technologies such as Kafka, Spark, Flink, Trino/Presto, BigQuery, Snowflake, or similar systems.
- Strong experience with data quality, observability, monitoring, and production reliability.
- Experience providing technical mentorship and driving engineering best practices across teams.
- Master's degree in Computer Science or a related technical field.
Skills
- About DevRev
Company info
- It extends your existing software with AI-native apps and agents that work alongside your teams and customers - updating workflows, coordinating across teams, and eliminating repetitive work.
- Whatever your role, our values describe what we ask of each other.
- We are looking for a Senior Data Engineer to help build and evolve the data platform that powers critical business decisions and customer-facing experiences.
This listing is sourced directly from DevRev's careers page and normalized into a canonical job model.