Ready to be a Titan?
Play a pivotal role on our Data Platform team! As a Senior Data Engineer, you will help build and evolve our core data platform, working on high-impact features in a rapidly growing, high-scale environment.
In this role, you will contribute to our next generation of data platform capabilities - supporting Semantic Modeling, improving Query Performance, and helping advance our Data Sharing capabilities. We build for perfection, use the most modern tools, have an amazing culture, and love to solve complex problems. If you share these values, you will find yourself in the perfect company.
What you'll do
•Implement & Maintain: Build and maintain high-performance, fault-tolerant, and scalable systems to support enterprise-grade data and analytical products.
•Semantic & Shared Data Contributions: Contribute to the implementation of Semantic Layer and Data Share solutions, helping enable governed data access across the organization.
•Data Curation & Modeling: Help build clean semantic models using dbt MetricFlow to define standardized business metrics, and support data curation solutions that allow teams to quickly onboard new data sources.
•Performance Engineering: Implement and tune distributed storage and Query Performance techniques to improve platform efficiency and reduce latency across large datasets.
•Pipeline Engineering: Partner with cross-functional teams to extract, transform, and load data from a wide variety of transactional, streaming, and analytical sources.
•Code Quality: Write robust, well-tested, and maintainable code. Participate actively in code reviews and technical discussions.
•Observability & Quality: Build automation for monitoring, alerting, and measuring data quality to support high platform reliability.
•Operational Ownership: Participate in the on-call rotation to monitor system stability, respond to incidents, and support a culture of operational excellence.
What you'll bring
•Education: B.S. degree in Computer Science or a related field.
•Experience: 5+ years of hands-on experience in Software Engineering / Data Engineering roles working in high-traffic, highly available production environments.
•Semantic & Performance Exposure: Familiarity with Semantic Modeling concepts (dbt MetricFlow experience a plus) and experience troubleshooting and optimizing Query Performance.
•Core Modern Stack: Solid proficiency with cloud data warehouses (e.g., Snowflake), SQL, and data transformation tools like dbt.
•Programming Depth: Experience with Python, Spark, Java, Scala, or similar programming languages.
•Big Data & Streaming: Experience with Big Data technologies (Snowflake, Redshift, Hive/Hadoop, etc.); exposure to streaming/messaging platforms like Kafka or Kinesis is a plus.
•Operational Rigor: Experience participating in production on-call rotations and adhering to CI/CD guidelines.
