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Software Engineer, Data InfrastructureCacheflow • Mountain View, California, United States
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Software Engineer, Data Infrastructure

Cacheflow
  • US
    Mountain View, California, United States
  • US
    Mountain View, California, United States
Jetzt Bewerben

Über

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.
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  • Mountain View, California, United States

Sprachkenntnisse

  • English
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