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Senior Software Engineer (Data Infrastructure)
Otter.ai · Mountain View, CA, United States
About The Role
Join our team as a Software Engineer (Data Infrastructure) and play a crucial role in designing and developing the foundational systems that power data flow across the company. You'll be responsible for building resilient systems for real-time data movement, processing, and storage, scaling data infrastructure to support our rapidly growing business needs, and driving innovation in data ingestion, transformation, and delivery. This position offers a comprehensive benefits package, including stock and equity options, parental leave benefits, a retirement savings program, and more.
- Design and build resilient systems for real-time data movement, processing, and storage.
- Scale data infrastructure to support rapidly growing business needs and unlock actionable insights.
- Drive innovation in data ingestion, transformation, and delivery across the company while establishing best practices.
- If you're excited about building the backbone of a data-driven organization and thrive in a space where engineering excellence meets real-world impact, we'd love to talk
- Has strong programming skills, preferably in Python or Java
- Has experience with cloud platforms (preferably AWS) and containerization tools (e.g., Docker, Kubernetes)
- Has implemented CDC solutions (e.g., Debezium, Maxwell)
- Has 4+ years engineering experience (2+ years in data infrastructure)
- Has expertise with cloud data lakes such as Snowflake or Databricks
- Is experienced with workflow orchestration systems (e.g., Apache Airflow, Dagster, Prefect)
- Has experience with streaming and big data processing frameworks (e.g., Kafka, Spark)
- Has a Bachelor's or Master's degree in Computer Science or a related field
- Exposure to data governance, PII handling, or policy-driven access control — e.g., RBAC at scale, SQL-level data masking, or policy compiler / lineage systems
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