Data Engineer

Job not on LinkedIn

🔥 4 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Base Operations

WebsiteLinkedInAll Job Openings

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 ETL pipelines for structured and unstructured data sources • Integrate ETL pipelines with ML models for data enrichment • Focus on production stability, performance optimization, and incident resolution • Develop data transformation, validation, and quality monitoring processes • Design and implement data warehouse solutions and data models for analytics and reporting • Establish data quality frameworks with monitoring, alerting, and remediation processes • Contribute to data architecture decisions • Lead implementation of data platform improvements

🎯 Requirements

• US-based and authorized to work in the United States • 3+ years of experience building production data pipelines and working with modern data stack tools • 3+ years 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 • Preferred: Experience working with geospatial data • Preferred: Working with large-scale datasets • Preferred: Experience with web scraping • Preferred: Understanding of ML and AI based infrastructure • Preferred: Familiarity with JavaScript

🏖️ Benefits

• Equal opportunity employment and diversity commitment • Employment eligibility verification upon hire

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