Software Engineer, Data Infrastructure

Cacheflow; Mountain View (CA); On-site; USD 185,000 - 230,000; Full time

Job summary

Cacheflow is seeking a Senior Data Engineer to enhance our Data Platform team. You'll design and build core data foundations supporting analytics and decision-making across departments.

Your responsibilities include creating data models, pipelines, and promoting best practices for data quality. The ideal candidate has 5+ years of experience in data engineering, strong programming skills in Python, and excels with cloud data solutions.

Salary range is $185,000 to $230,000 per year, reflecting the overall compensation package.

Qualifications

• 5+ years of experience in data engineering.
• Strong programming skills in Python and SQL.
• Experience with cloud platforms, preferably AWS.

Responsibilities

• Build and own foundational data models for analytics.
• Design, operate, and scale reliable data pipelines.
• Establish best practices for data quality and governance.

Skills

Python

SQL

Data Modeling

ETL/ELT Pipelines

Cloud Data Warehousing

Workflow Orchestration

Education

Bachelor’s degree in Computer Science or equivalent experience

Tools

Snowflake

BigQuery

Databricks

Airflow

Job description

The Opportunity

We are looking for a Senior Data Engineer to join our Data Platform team and build the core data foundations that power analytics, experimentation, and decision‑making across the company. In this role, you will design and own foundational data models, pipelines, and platforms that enable self‑serve analytics and trustworthy insights at scale.

You will partner closely with Growth, Product, Sales, Marketing, Data Insights, and Engineering teams as a technical thought leader who helps teams extract meaningful value from data. This is a high‑ownership role in a growing company, and you will have a direct impact on how data is collected, modeled, and used to drive the business forward.

Your Impact

• 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

We’re Looking for Someone Who

• Has 5+ years of experience in data engineering
• Has a Bachelor’s degree in Computer Science or equivalent experience
• Has strong programming skills in Python and SQL
• Has expertise with cloud data warehouses such as Snowflake, BigQuery, or Databricks
• Has experience building and maintaining ETL/ELT pipelines
• Is experienced with workflow orchestration (e.g., Airflow, dbt)
• Has strong data modeling skills and understands how to design for analytical workloads
• Has experience with cloud platforms (preferably AWS)
• Has worked in fast‑paced tech, AI or SaaS environments

Nice to Haves

• Experience with data governance, data catalogs, and data quality frameworks
• Familiarity with BI or data visualization tools
• Experience with experimentation or A/B testing frameworks
• Exposure to ML pipelines, feature engineering, or applied data science
• Experience with streaming or near‑real‑time data systems

Salary Range

Salary Range: $185,000 to $230,000 USD per year.

This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of a comprehensive total rewards package.

Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace. We provide reasonable accommodations for qualified applicants throughout the hiring process.