Senior Data Platform Engineer - Remote AI-Driven Analytics

Pax8, Inc; United States; Remote; USD 175,000 - 225,000; Full time

Benefits offered by this job

401(k) with Company Match

Medical, Dental & Vision Coverage

Employee Assistance Program (EAP)

Employer-Paid Life, AD&D, LT/LTD

Flexible Open PTO

Paid Sick Leave

Paid Parental Leave

RTD EcoPass (Colorado-based employees)

Job summary

Pax8 is seeking a Sr. Data Engineer II (Data Platforms) to lead data architecture and build scalable pipelines across cloud environments. You will partner with product and engineering leaders to deliver reliable, AI-enabled data solutions that power decision-making in a global technology marketplace.

You will drive platform reliability, observability, and modernization while mentoring engineers and promoting best practices for scalable data platforms.

Qualifications

• Extensive experience building modern data platforms with Python and SQL.
• Deep knowledge of distributed data processing and orchestration.
• Ability to lead multi-team architectural initiatives.
• Experience defining standards for data pipelines and platform ops.
• Understanding of AI capabilities and responsible integration in engineering.

Responsibilities

• Define data architecture principles and engineering standards across data domains.
• Lead design and implementation of large-scale, business-critical data initiatives.
• Drive pipeline reliability, data quality, and observability practices.
• Mentor engineers and facilitate engineering reviews across teams.
• Advance AI-assisted engineering standards and tool adoption.

Skills

Python

SQL

Cloud-native

Data platforms

Distributed processing

AI tooling

Job description

Pax8 is seeking a Sr. Data Engineer II (Data Platforms) to lead data architecture and build scalable pipelines across cloud environments. You will partner with product and engineering leaders to deliver reliable, AI-enabled data solutions that power decision-making in a global technology marketplace.

You will drive platform reliability, observability, and modernization while mentoring engineers and promoting best practices for scalable data platforms.