Data Engineer

Job not on LinkedIn

🕒 October 18, 2025

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Logo of Base Operations

Base Operations

11 - 50 employees

Founded 2019

🔒 Cybersecurity

🤝 B2B

🏢 Enterprise

Cybersecurity • B2B • Enterprise

Base Operations is a company that specializes in providing actionable security insights to protect organizations' people and assets. By leveraging advanced threat analytics and data-driven security strategies, Base Operations helps businesses assess risks and make informed decisions regarding their operational safety. Offering services like threat assessments, risk prioritization, and incident reporting, the company works with security teams globally to improve situational awareness and enhance security planning.

📋 Description

• Build, test, and maintain robust ingestion and transformation pipelines, incl. the injection of NLP models to extract and augment data from free text sources. • Develop data transformation, validation and analysis methods to augment the utility and actionability of data • Build out a data warehousing strategy to realize and enhance the full data lifecycle. • Operationalize data quality throughout, ensuring visibility and timely remediation of data quality issues. • Contribute to GIS data architecture strategies, and drive transformation and implementation activities resulting from those strategies.

🎯 Requirements

• 3+ years experience building production-level data pipelines and standing up the platforms to support them • 3+ experience implementing and maintaining data warehouses, data models, and performing schema migrations. Experience standing up a data warehouse from scratch as well as AWS tools such as Athena and S3 a big plus. • Strong working knowledge of SQL, data models, and performing schema migrations. • Demonstrable thought leadership on operationalizing data quality • Development experience delivering production ready code in Python. Familiarity with Pandas framework. • Strong collaborator across functional areas, incl. data science, infrastructure, software development, and product

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities

Apply Now

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