Senior Data Engineer: Build Scalable Data Pipelines & AI

Metropolis; Seattle (WA); On-site; USD 160,000 - 220,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) plan

Stock option plan

Bonus plans

Job summary

A leading AI company in Seattle is seeking an experienced Senior Data Engineer to design and build scalable data products. You will collaborate across teams to develop sophisticated data pipelines and ensure data governance. The ideal candidate has over 5 years of experience in data engineering, proficiency in Python and SQL, and familiarity with AWS. The position offers a base salary range between $160,000 and $220,000 annually and values in-office collaboration for innovation.

Qualifications

• 5+ years of experience in data engineering and ETL tools.
• Hands-on experience with cloud services, preferably AWS.
• Experience with integration tools like Airflow.

Responsibilities

• Collaborate with teams to develop data pipelines and architecture.
• Implement data governance processes and ensure compliance.
• Mentor team members and optimize complex code.

Skills

Data engineering

Python

SQL

ETL/ELT

Data modeling

Cloud services (AWS)

Education

Bachelor's degree in Computer Science or relevant field

Master's degree (preferred)

Tools

Snowflake

Airflow

ETL tools

CI/CD pipelines

Job description

A leading AI company in Seattle is seeking an experienced Senior Data Engineer to design and build scalable data products. You will collaborate across teams to develop sophisticated data pipelines and ensure data governance. The ideal candidate has over 5 years of experience in data engineering, proficiency in Python and SQL, and familiarity with AWS. The position offers a base salary range between $160,000 and $220,000 annually and values in-office collaboration for innovation.