Data Engineer
Base Operations13 days ago
Remote, United StatesMid Level
Responsibilities
- Build, test, and maintain robust ETL pipelines for structured and unstructured data, including ML-model-based data enrichment.
- Develop data transformation, validation, quality monitoring, alerting, and remediation processes.
- Design and implement data warehouses and dimensional data models for analytics and reporting.
- Contribute to data architecture decisions and lead data platform improvements.
- Optimize production stability and performance and resolve incidents.
- Collaborate with data scientists, analysts, and engineering teams.
Requirements
- At least 3 years of experience building production data pipelines with modern data stack tools.
- At least 3 years of experience implementing and maintaining data warehouses and dimensional data models.
- Strong SQL skills and knowledge of 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.
- Preferred: experience with geospatial data, large-scale datasets, web scraping, ML and AI infrastructure, and JavaScript.
- Strong collaboration skills with data scientists, analysts, and engineering teams.
Benefits
- US-based, remote work arrangement.
- Employment requires verification of identity and eligibility to work in the United States and completion of the required employment eligibility verification document upon hire.
- Base Operations is an equal opportunity employer and champions diversity.
Tech Stack
Categories
Data Engineering
About Base Operations
Base Operations builds AI-powered physical threat intelligence software that delivers street-level risk analytics, forecasting, and scoring for security, risk, and operations teams. The platform—featuring products like BaseEngine, BaseScore, and BaseCoPilot—serves global enterprises (including Fortune 500 security teams) and U.S. federal/defense agencies, helping them assess and act on real-world threats. Founded in 2019 and headquartered in Washington, DC, the privately held company sells its software to commercial and government customers.