Data Engineer

Base Operations

1d • Remote

About The Position

Base Operations is seeking a Data Engineer to define, build, and mature the data pipelines, models, and warehouse used to develop a large dataset of global threat patterns and street-level intelligence. The role calls for technical contribution to data architecture strategy as well as translating that strategy into a tactical plan and executing it. The position is US-based and remote.

Requirements

• At least 3 years of experience building production data pipelines and working with modern data-stack tools.
• At least 3 years of experience implementing and maintaining data warehouses and dimensional data models.
• Strong SQL skills and experience with data-modeling best practices.
• Proficiency in Python for data-engineering tasks.
• Experience with workflow orchestration and automation tools.
• Experience implementing data-quality and governance practices.
• Strong collaboration skills working with data scientists, analysts, and engineering teams.

Nice To Haves

• Experience working with geospatial data.
• Experience working with large-scale datasets.
• Experience with web scraping.
• Understanding of ML- and AI-based infrastructure.
• Familiarity with JavaScript.

Responsibilities

• Build, test, and maintain robust ETL pipelines for structured and unstructured data, including integrations with machine-learning models for data enrichment, with attention to production stability, performance optimization, and incident resolution.
• Develop data transformation, validation, and quality-monitoring processes to ensure reliable and actionable data.
• Design and implement data warehouse solutions and data models that support analytics and reporting.
• Establish data-quality frameworks, including monitoring, alerting, and remediation processes.
• Contribute to data architecture decisions and lead implementation of data platform improvements.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed