5 months ago
Mountain View, CA, USAMid Level
H1B sponsor
Base Salary
$155k - $185k/yr
Responsibilities
- Design and build resilient systems for real-time data movement, processing, and storage.
- Scale data infrastructure to support the company’s growth.
- Enable seamless, governed access to high-quality and trustworthy data.
- Drive data ingestion, transformation, and delivery across the company.
- Establish infrastructure best practices balancing performance, flexibility, and governance at scale.
Requirements
- Bachelor’s or master’s degree in computer science or a related field.
- At least 4 years of engineering experience, including at least 2 years in data infrastructure.
- Strong programming skills, preferably in Python or Java.
- Expertise with cloud data lakes such as Snowflake or Databricks.
- Experience with streaming and big data processing frameworks such as Kafka or Spark.
- Experience with workflow orchestration systems such as Apache Airflow, Dagster, or Prefect.
- Experience implementing CDC solutions such as Debezium or Maxwell.
- Experience with cloud platforms, preferably AWS, and containerization tools such as Docker or Kubernetes.
- Nice-to-have exposure to data governance, PII handling, policy-driven access control, RBAC at scale, SQL-level data masking, policy compiler systems, or data lineage systems.
Benefits
- Hybrid work arrangement, indicated by #LI-Hybrid.
- Comprehensive total rewards package in addition to base salary.
- Equal opportunity employer with reasonable accommodations available throughout the hiring process.
Tech Stack
Categories
Data Engineering
About Otter.ai
Otter.ai builds an AI meeting assistant that records, transcribes, and summarizes meetings and generates action items for teams and professionals. The subscription-based service offers individual, business, and enterprise plans, with apps for web, mobile, and desktop and integrations with Zoom, Google Meet, and Microsoft Teams. Founded in 2016 and headquartered in Mountain View, California, the company is privately held.