Senior Data Engineer

🕒 October 1

🇺🇸 United States – Remote

💵 $175k - $225k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 4%

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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Pax8

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏪 Marketplace

☁️ SaaS

💰 $185M Venture Round on 2022-04

Consulting • Marketplace • SaaS

Pax8 is an AI-powered digital marketplace designed specifically for small businesses. It serves as a platform for partners and vendors, offering resources, professional services, and events tailored to help businesses grow and succeed. Pax8 emphasizes building security solutions while providing extensive support and learning opportunities through its Pax8 Academy and collaboration within its partner community.

📋 Description

• Create architectural standards and technical frameworks guiding multiple engineering teams • Establish observability practices including lineage tracking, monitoring, data quality controls, and service reliability standards • Lead technical reviews and shape architectural decisions through documentation, design reviews, and strategic guidance • Identify opportunities for automation, platform improvement, and engineering efficiency • Coach and mentor engineers on modern data engineering, system design, and AI-assisted development • Collaborate with product, analytics, and data science stakeholders to translate business challenges into scalable data solutions • Define and monitor engineering quality metrics to improve reliability, deployment confidence, and operational excellence • Drive adoption of modern AI engineering practices while maintaining quality and governance • Champion platform improvements that eliminate recurring data challenges • Influence engineering strategy across teams through technical leadership and domain expertise • Enable reliable, secure, adaptable data platforms that support faster insights and business outcomes

🎯 Requirements

• Extensive expertise in SQL, Python, and modern data engineering practices • Demonstrated ownership of complex data platforms and mission-critical engineering initiatives • Strong systems thinking and root-cause problem solving • Ability to define technical direction and influence engineering decisions across multiple teams • Significant experience designing distributed data processing solutions, data pipelines, and large-scale analytical platforms • Deep understanding of data orchestration, streaming technologies, and cloud-native data architectures • Expertise with modern analytical databases and large-scale data infrastructure • Strong judgment when leveraging AI tools while maintaining quality and governance standards • Experience mentoring engineers and developing technical capability across teams • Experience creating engineering standards, architectural patterns, and best practices adopted at scale • Knowledge of data governance, cataloging, access controls, and organizational data management • Ability to communicate complex technical concepts clearly to varied stakeholders • Growth mindset and passion for continuous learning • Valid right to work in United States • Successful completion of pre-employment ID verification, reference requests, qualification checks, and applicable additional checks

🏖️ Benefits

• 401(k) with Company Match • Medical, Dental & Vision Coverage • Employee Assistance Program (EAP) • Employer-Paid Life, AD&D, Short-Term Disability & Long-Term Disability Insurance • Flexible Open PTO • Paid Sick Leave • Paid Parental Leave • Extensive room for career growth and advancement • Internal development hub • Learning & Development trainers • AI-powered tools • Mentorship from “born in the cloud” mentors • Cross-continent collaboration • RTD EcoPass (eligible Colorado-based employees)

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