Senior Data Engineer II - Data Platforms

Pax8

2d • $175,000 - $225,000 • Remote

About The Position

Pax8 is hiring a Senior Data Engineer II for its Data Platforms organization. This remote U.S. role will shape how data is engineered, governed, and used across the company’s global cloud marketplace. The engineer will define technical standards and strategy across a critical data domain, build scalable data-platform foundations, and help teams apply modern AI-assisted engineering practices responsibly.

The role partners with engineers, product leaders, and data practitioners to solve complex business challenges. It leads large-scale, business-critical initiatives and influences architecture across teams and platforms, while improving platform reliability, performance, infrastructure, tooling, and developer experience. The position also mentors engineers and supports continuous improvement through technical reviews, documentation, and shared learning.

Pax8 describes itself as a fast-growing cloud marketplace with a start-up feel, focused on empowering small businesses through smarter technology. The position is remote in the United States, and applicants must have valid U.S. work authorization. The expected base salary range is $175,000–$225,000. The application deadline is November 30, 2026.

Requirements

• Extensive expertise building and operating modern data platforms using Python, SQL, and cloud-native technologies.
• Deep understanding of distributed data processing, orchestration frameworks, streaming architectures, and data-platform operations.
• Demonstrated ability to lead technical initiatives spanning multiple teams and deliver lasting organizational impact.
• Experience defining architectural patterns, engineering standards, and platform best practices.
• Strong systems-thinking mindset and focus on solving root causes.
• Expertise partnering with stakeholders to translate business needs into scalable technical solutions.
• Advanced understanding of AI capabilities, limitations, and responsible implementation in engineering workflows.
• Experience using AI-powered development tools to improve productivity, quality, and decision-making.
• Strong communication skills and ability to influence technical direction through collaboration, documentation, and mentorship.
• Valid right to work in the United States.

Nice To Haves

• Applicants are encouraged to apply even if they do not meet 100% of the criteria; transferable skills are welcomed.

Responsibilities

• Define data architecture principles and engineering standards across a critical data domain.
• Lead the design and implementation of large-scale, business-critical data initiatives.
• Guide architectural decision-making across multiple teams and platforms.
• Promote pipeline monitoring, data quality, lineage management, and operational excellence.
• Establish measurable service objectives and data reliability standards.
• Create frameworks to proactively surface and prevent data issues.
• Design and evolve distributed data processing solutions for analytics, product, and AI workloads.
• Improve infrastructure, tooling, and developer experience to increase engineering efficiency.
• Lead platform modernization and performance optimization at scale.
• Mentor engineers across teams on system design, engineering excellence, and modern development practices.
• Facilitate technical reviews and help teams make informed architectural decisions.
• Promote continuous improvement and shared learning.
• Define standards for responsible and effective use of AI throughout the engineering lifecycle.
• Evaluate AI-enabled engineering capabilities and identify opportunities to accelerate delivery.
• Support adoption of AI tools while maintaining standards for quality, validation, and governance.
• Partner with stakeholders to translate business needs into scalable technical solutions.

Benefits

• Competitive compensation.
• Comprehensive medical, dental, and vision coverage.
• Disability and life insurance.
• Retirement savings plan with employer contributions; 401(k) with company match.
• Wellbeing resources and Employee Assistance Program.
• Flexible open paid time off and paid sick leave.
• Paid parental leave.
• Professional development opportunities and access to an internal development hub.
• Employer-paid AD&D, short-term disability, and long-term disability insurance.
• RTD EcoPass for eligible Colorado-based employees.

What This Job Offers

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