Sr Analytics Engineer

Salary

$137,000 - $164,000

Location

USA - South San Francisco, CA

In this pivotal role, you’ll serve as the backbone of Twist’s data infrastructure—enhancing our dbt pipelines, driving scalable architecture, and ensuring data flows efficiently across the business. You’ll partner with technical teams and business leaders to transform raw data into trusted insights that fuel decision-making, accelerate innovation, and help bring our breakthrough products to scientists around the world. If you’re passionate about building elegant, resilient systems that make data truly impactful we’d love to meet you.

Key Responsibilities

Maintain and improve dbt data transformation pipelines
Build and refactor semantic models using best practices
Optimize workflows for performance, scalability, and reliability
Support CI/CD adoption and enforce version control standards (e.g., Git)
Ensure pipeline health and data quality with robust logging and alerting
Collaborate with analysts and business stakeholders to deliver high-impact solutions
Document architecture and contribute to a culture of continuous improvement
Design, build, and optimize scalable data pipelines and architectures within Snowflake
Implement permissions and role-based access control in Snowflake to manage secure data access

What You’ll Bring

Bachelor’s degree (or equivalent experience) in Computer Science, Data Engineering, or Analytics
Clear, confident communication and a collaborative mindset
Thought leader in data engineering and architecture best practices
Strong troubleshooting and system optimization skills
Proficiency in dbt, SQL, and semantic modeling
Working knowledge of Python or R for data processing
Experience with CI/CD and Git-based workflows
Familiarity with modern data infrastructure (e.g., Snowflake, Databricks, Airflow)

‌