Senior Data Engineer - Scale Data Pipelines (Hybrid)

otterai; Mountain View (CA); Hybrid; USD 185,000 - 230,000; Full time

Job summary

Otter.ai is seeking a Senior Data Engineer to join the Data Platform team in Mountain View. You will build foundational data models, pipelines, and platforms to enable self-serve analytics and trustworthy insights at scale.

You will partner with Growth, Product, Sales, Marketing, Data Insights, and Engineering as a technical lead, shaping how data is collected, modeled, and used to drive the business forward.

Qualifications

• 5+ years of experience in data engineering.
• Bachelor's degree in Computer Science or equivalent.
• Hands-on, actively contributing code and driving projects to completion.
• Strong programming skills in Python and SQL.
• Experience with cloud data warehouses such as Snowflake, BigQuery, or Databricks.
• Experience building and maintaining ETL/ELT pipelines.
• Experienced with workflow orchestration (Airflow, dbt).
• Has strong data modeling skills and understands how to design for analytical workloads.
• Experience with cloud platforms (AWS).
• Background in fast-paced tech, AI or SaaS environments.

Responsibilities

• Build and own foundational data models that enable self-serve analytics and key business metrics
• Design, operate, and scale reliable data pipelines and platforms
• Partner with stakeholders to translate business needs into trusted data products
• Influence data collection and logging standards across production systems
• Establish best practices for data modeling, quality, and governance
• Implement data quality checks, statistical validation, and anomaly detection
• Provide technical leadership that improves data reliability and data literacy

Skills

Data engineering

Python

SQL

ETL/ELT pipelines

Airflow

dbt

Data modeling

AWS

5+ years experience

Analytical mindset

Education

Bachelor's degree in Computer Science or equivalent

Tools

Snowflake

BigQuery

Databricks

Airflow

Job description

Otter.ai is seeking a Senior Data Engineer to join the Data Platform team in Mountain View. You will build foundational data models, pipelines, and platforms to enable self-serve analytics and trustworthy insights at scale.

You will partner with Growth, Product, Sales, Marketing, Data Insights, and Engineering as a technical lead, shaping how data is collected, modeled, and used to drive the business forward.