Senior Analytics Engineer - Data Warehouses & Pipelines

Metropolis; Seattle (WA); On-site; USD 130,000 - 175,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Stock options

Bonus plans

Job summary

A leading tech firm in Seattle seeks a Senior Analytics Engineer to join its Data Engineering and Analytics team. The role involves designing large-scale data warehouses with a focus on accessibility and actionable insights while leveraging SQL and dbt for data transformation. Candidates should have over five years of experience in analytics engineering with strong skills in SQL and Python. The position requires a collaborative approach across teams and a commitment to data quality. Competitive salary and benefits offered.

Qualifications

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL.
• 3+ years of experience with dbt.
• Expert in SQL with experience in window functions and performance optimization.
• Led large-scale data projects and designed data warehouses.
• Experience mentoring stakeholders on data best practices.

Responsibilities

• Design and implement large-scale data warehouses and data marts.
• Build and maintain data transformation pipelines using SQL frameworks.
• Write complex SQL and manage DAGs for task optimization.
• Implement metadata management and ensure data quality.
• Mentor others on data best practices and drive technical excellence.

Skills

Data/analytics engineering

SQL

Python

dbt

Data project ownership

Cross-functional partnering

Data warehousing design

Query optimization

Data quality assurance

Tools

Snowflake

dbt

Job description

A leading tech firm in Seattle seeks a Senior Analytics Engineer to join its Data Engineering and Analytics team. The role involves designing large-scale data warehouses with a focus on accessibility and actionable insights while leveraging SQL and dbt for data transformation. Candidates should have over five years of experience in analytics engineering with strong skills in SQL and Python. The position requires a collaborative approach across teams and a commitment to data quality. Competitive salary and benefits offered.