Senior Data Engineer II (Data Platforms)

Pax8

1d•$175,000 - $225,000•Remote

About The Position

Join Pax8 as a Sr. Data Engineer II (Data Platforms) and help shape how data powers decision-making across a rapidly growing global technology marketplace. This is a unique opportunity to define engineering standards, influence technical strategy across multiple teams, and pioneer modern AI-assisted engineering practices. You'll work at the intersection of scalable data platforms, cloud technologies, and emerging AI capabilities while helping other engineers elevate their craft. At Pax8, we're embracing the next era of engineering where AI amplifies human expertise. As a senior technical leader, you'll help establish the technical patterns, frameworks, and best practices that enable teams to build reliable, scalable, and intelligent data solutions. You'll partner with engineers, product leaders, and data practitioners to solve complex business challenges while advancing the future of our data platform.

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 that span multiple teams and deliver lasting organizational impact.
Proven experience defining architectural patterns, engineering standards, and platform best practices.
Strong systems-thinking mindset with a passion for solving root causes rather than recurring symptoms.
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 with the ability to influence technical direction through collaboration, documentation, and mentorship.
Must hold valid right to work in United States.

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.
Champion best practices for pipeline monitoring, data quality, lineage management, and operational excellence.
Establish measurable service objectives and data reliability standards.
Create frameworks that proactively surface and prevent data issues.
Design and evolve distributed data processing solutions that support analytics, product, and AI workloads.
Improve infrastructure, tooling, and developer experience to increase engineering efficiency.
Lead efforts to modernize and optimize platform performance 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 a culture of continuous improvement and shared learning.
Define standards for responsible and effective use of AI throughout the engineering lifecycle.
Evaluate new AI-enabled engineering capabilities and identify opportunities to accelerate delivery.
Support teams in adopting AI tools while maintaining high standards for quality, validation, and governance.

Benefits

competitive compensation
comprehensive medical, dental and vision coverage
disability and life insurance
retirement savings plans with employer contributions
wellbeing resources
flexible paid time off
employee assistance programs
professional development opportunities
additional benefits designed to support you and your family
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
RTD EcoPass (eligible Colorado-based employees)