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Salary: USD 175,000 - 225,000 / annual
Pax8 is seeking a Senior Data Engineer II to define data engineering standards, platforms, and architectures across the organization. This is a technical authority role focused on influencing how data engineering is practiced company-wide, rather than managing a team.
You will own critical platform decisions, establish engineering patterns, and help teams use AI to build reliable, scalable, and intelligent data solutions. Key responsibilities include:
- Creating architectural standards and technical frameworks that guide multiple engineering teams
- Establishing best-in-class observability practices including lineage tracking, monitoring, data quality controls, and service reliability standards
- Leading technical reviews and shaping architectural decisions through engineering documentation, design reviews, and strategic guidance
- Identifying systemic opportunities for automation, platform improvement, and engineering efficiency
- Coaching and mentoring engineers on modern data engineering techniques, system design, and AI-assisted development practices
- Collaborating with product, analytics, and data science stakeholders to translate business challenges into scalable data solutions
- Defining and monitoring engineering quality metrics that improve reliability, deployment confidence, and operational excellence
- Driving adoption of modern AI engineering practices that increase productivity while maintaining quality and governance standards
- Championing platform improvements that eliminate recurring data challenges
- Influencing engineering strategy across teams through technical leadership and domain expertise
Pax8 is a technology marketplace connecting partners, vendors, and small to midsized businesses through AI-powered insights. The role offers extensive room for growth, access to internal development resources, AI-powered tools, and cross-functional collaboration.
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 with a passion for solving root causes rather than recurring symptoms
- Proven 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 working with modern analytical databases and large-scale data infrastructure
- Strong judgement when leveraging AI tools to improve engineering productivity while maintaining quality and governance standards
- Confidence 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 a variety of stakeholders
- Growth mindset and passion for continuous learning in an AI-driven technology landscape
- Valid right to work in United States
