Senior Data Engineer - Reporting & Analytics (Hybrid, RSUs)

Cacheflow; San Francisco (CA); Hybrid; USD 151,700 - 205,300; Full time

Benefits offered by this job

Shared success equity through RSUs

Up to 100% employer-paid premiums for health coverage

401(k) plan and life insurance

Paid parental leave

Flexible vacation policy

Job summary

Cacheflow is seeking a Senior Data Engineer in San Francisco to support their growing data team. This role focuses on building large-scale data products and ensuring data quality while empowering all teams with self-service capabilities.

The ideal candidate should have over 5 years of experience, expertise in Python, and the ability to explain complex data flows. Cacheflow offers a hybrid work environment and a comprehensive rewards package including competitive salary and equity options.

Qualifications

• 5+ years of experience as a data engineer.
• Expertise in writing analytical SQL and building performant queries.
• Fluency in Python.

Responsibilities

• Automate processes in line with the company's automation value.
• Build data products that serve analytics, product and engineering services, and machine learning models.
• Optimize query performance and reduce data ingestion and processing time.

Skills

Data Engineering

Analytical SQL

Python

Machine-learning pipelines

Tools

Snowflake

Airflow

Looker

Job description

Cacheflow is seeking a Senior Data Engineer in San Francisco to support their growing data team. This role focuses on building large-scale data products and ensuring data quality while empowering all teams with self-service capabilities.

The ideal candidate should have over 5 years of experience, expertise in Python, and the ability to explain complex data flows. Cacheflow offers a hybrid work environment and a comprehensive rewards package including competitive salary and equity options.