Remote Data Engineer - ETL, Warehousing & Pipelines

Base Operations; Oregon; Hybrid; USD 120,000 - 165,000; Full time

Job summary

Base Operations is seeking a Data Engineer to define, build, and mature data pipelines, models, and a data warehouse to support analytics. You will shape the architecture strategy and translate it into a practical plan for execution.

The role emphasizes production-ready data platforms, collaboration with data scientists and engineers, and improving data quality and governance across the stack.

Qualifications

• 3+ years building production data pipelines.
• 3+ years implementing data warehouses and dimensional models.
• Strong SQL skills.
• Proficiency in Python for data engineering.
• Experience with workflow orchestration tools.
• Experience implementing data quality and governance practices.
• Strong collaboration with data scientists, analysts and engineers.

Responsibilities

• Build, test, and maintain ETL pipelines for structured and unstructured data, with ML integration, focusing on stability and performance.
• Develop data transformation, validation, and quality monitoring to ensure reliable data.
• Design and implement data warehouse solutions and data models to support analytics and reporting needs.
• Establish data quality frameworks with monitoring, alerting, and remediation processes.
• Contribute to data architecture decisions and lead data platform improvements.

Skills

Data pipelines

Data warehouse design

SQL

Python

Workflow automation

Data quality governance

Cross-functional collaboration

Job description

Base Operations is seeking a Data Engineer to define, build, and mature data pipelines, models, and a data warehouse to support analytics. You will shape the architecture strategy and translate it into a practical plan for execution.

The role emphasizes production-ready data platforms, collaboration with data scientists and engineers, and improving data quality and governance across the stack.