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Senior Data Engineer II

Pax8
United StatesremoteEnglish175k-225k USD/year3d ago
data-engineeringdata-scienceetlpythonsql

🚀 Sr. Data Engineer II | United States | Remote | Pax8 Pax8 is hiring a Sr. Data Engineer II in the United States to help shape the future of our AI-powered cloud marketplace by defining the data engineering standards, platforms, and architectures that enable scalable business intelligence and innovation. Shape the Future of Data Engineering at Pax8 This is more than a senior engineering role. It's an opportunity to become a technical authority who influences how data engineering is practiced across the business. You'll own critical platform decisions, establish engineering patterns others follow, and help accelerate how teams use AI to build reliable, scalable, and intelligent data solutions. As AI transforms how software is designed and delivered, you'll be at the forefront of defining modern engineering approaches, mentoring talented engineers, and creating systems that enable faster, smarter decision making across Pax8 . 🌎 Our Culture & Journey Pax8 is the technology marketplace of the future, connecting partners, vendors, and small to midsized businesses through AI-powered insights and comprehensive product support. Our mission is evolving alongside the rapid advancement of AI, cloud technologies, and data-driven decision making. Learn more about our culture, mission, and growth through our Careers site and About Pax8 pages, where you'll discover what makes Pax8 one of the most exciting technology companies in the industry today. 🔧 How You'll Make an Impact You'll help define the next generation of data engineering at Pax8 by: 🏗️ 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...

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