ServiceTitan is looking to design and build foundational systems that power its data products, driving major feature development, shaping its data platform architecture, and delivering high-quality software at scale.
Requirements
- Strong software engineering fundamentals: design patterns, code quality, testing, debugging, and performance optimization.
- Proficiency in one or more programming languages (Python, Java, Scala, or similar) and solid understanding of distributed systems concepts.
- Hands-on experience with big data technologies (e.g. Snowflake, Redshift, Spark, Hadoop/Hive).
- Strong SQL skills; experience with Snowflake is a plus.
- Familiarity with modern data tooling (e.g. dbt for transformations, Kafka or Kinesis for streaming) is desirable.
- Experience with CI/CD, containerization (Docker, Kubernetes), and cloud infrastructure (AWS, GCP, or Azure) is a plus.
- 5+ years of experience as a Software Engineer or Data Engineer building production systems at scale.
Responsibilities
- Design, build, and maintain scalable, high-performance data services and infrastructure.
- Develop clean, robust, and well-tested software that processes large-scale datasets reliably.
- Build APIs, frameworks, and libraries to enable consistent data ingestion, transformation, and serving.
- Engineer high-availability and fault-tolerant systems for data processing and storage.
- Collaborate with partner teams to integrate with upstream systems and enable data-driven features across the company.
- Evaluate and implement distributed storage, compute, and query technologies.
- Continuously improve the reliability, efficiency, and observability of our data platform.
Other
- B.S. degree in Computer Science or a related technical field (or equivalent experience).
- Flextime, recognition, and support for autonomous work.
- Holistic health and wellness benefits
- Support for Titans at all stages of life
- Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement
