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Pax8

Cloud marketplace connecting MSPs and VARs

Senior Data Engineer 2

Data EngineeringUpdated on Nov 15
Full-timeRemote in USARemote

About the Job

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 the ability to solve 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 judgment when using 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.

Responsibilities

  • Create architectural standards and technical frameworks that guide 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 engineering documentation, design reviews, and strategic guidance.
  • Identify systemic opportunities for automation, platform improvement, and engineering efficiency.
  • Coach and mentor engineers on modern data engineering techniques, system design, and AI-assisted development practices.
  • Collaborate with product, analytics, and data science stakeholders to translate business challenges into scalable data solutions.
  • Define and monitor engineering quality metrics that improve reliability, deployment confidence, and operational excellence.
  • Drive adoption of modern AI engineering practices that increase productivity while maintaining quality and governance standards.
  • Champion platform improvements that eliminate recurring data challenges rather than repeatedly fixing individual symptoms.
  • Influence engineering strategy across teams through technical leadership and domain expertise.

About the Company

Pax8

Cloud marketplace connecting MSPs and VARs

Pax8 runs a cloud marketplace that connects IT service providers, MSPs, and VARs with cloud solutions from vendors like AWS and Microsoft. Its platform provides a catalog, billing, and management tools so customers procure, license, and manage cloud services in one place, plus the Pax8 Academy for education. Revenue comes from a marketplace subscription and sales of vendor-provided cloud services. Its goal is to help partners grow their businesses by simplifying access to cloud solutions and offering guidance, insights, and support through a strong partner ecosystem.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$395.1M
Headquarters
Greenwood Village, CO
Founded
2011

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