Senior Data Engineer: Build Scalable Data Platforms

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

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.