Data Engineer | Build Scalable Pipelines & Data Infra

Quartz West Partners; Portland (OR); On-site; USD 110,000 - 154,000; Full time

Benefits offered by this job

Health insurance (medical, dental, and

Vision plans

401(k) with employer match

Tuition reimbursement

Online learning platforms and courses

Job summary

Quartz West Partners, a data analytics and consulting firm in Portland, OR, is seeking a Data Engineer for a full-time role. You will design, develop, and maintain data infrastructure and pipelines to support analytics and client projects.

The position requires collaboration with analysts, scientists, and engineers in a modern Portland office environment. Ideal candidates have a Bachelor's in CS/Data Engineering, 3+ years in data engineering, and strong SQL, Python, and Airflow skills.

Qualifications

• Bachelor's degree in CS, Data Engineering, or related field.
• 3+ years of data engineering experience with ETL, data modeling, and DB management.
• Proficiency in SQL and Python; experience with data pipeline tools and cloud platforms.

Responsibilities

• Design, develop, and maintain data pipelines and infrastructure to support analytics services.
• Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
• Optimize data processing workflows to improve performance and reduce costs.
• Ensure data quality, accuracy, and consistency across data systems.
• Monitor and troubleshoot data issues, and implement robust fixes.

Skills

SQL

Python

Apache Airflow

ETL

Big data tech

Education

Bachelor's degree in Computer Science, Data Engineering, or a related field

Tools

AWS

GCP

Azure

Job description

Quartz West Partners, a data analytics and consulting firm in Portland, OR, is seeking a Data Engineer for a full-time role. You will design, develop, and maintain data infrastructure and pipelines to support analytics and client projects.

The position requires collaboration with analysts, scientists, and engineers in a modern Portland office environment. Ideal candidates have a Bachelor's in CS/Data Engineering, 3+ years in data engineering, and strong SQL, Python, and Airflow skills.