Staff Data Engineer

Job not on LinkedIn

June 25

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Logo of MoonPay

MoonPay

Crypto • Fintech • Web 3

MoonPay is a leading platform in the cryptocurrency industry, providing users with a seamless way to buy, sell, and swap cryptocurrencies. With a focus on user experience, MoonPay allows individuals to integrate various payment methods, such as Apple Pay, Google Pay, and PayPal, to quickly purchase crypto assets. MoonPay is decentralized, offering non-custodial services in over 180 countries and supporting more than 50 crypto assets. The platform prioritizes security and compliance, employing AES-256 encryption and adhering to standards like PCI-DSS and ISO certifications. Additionally, MoonPay facilitates easy management of digital wallets and collectibles, ensuring users can monitor their portfolio across its 300+ partners.

201 - 500 employees

Founded 2018

₿ Crypto

💳 Fintech

🌐 Web 3

💰 $87M Series A on 2022-04

📋 Description

• As a Staff Data Engineer on our Data Platform team, you'll be at the forefront of shaping our data platform. • You'll be a key technical leader and contributor, shaping the future of how data is used. • Your work will involve building and enhancing the core infrastructure and services that empower other developers and our data users. • Architect, design, and develop our data platform capabilities. • Actively contribute to our technical vision and roadmap. • Contribute and improve our existing data platform codebase, data pipelines, and Infrastructure as Code (IaC). • Collaborate across engineering and analytics teams to deliver reliable platform capabilities that directly empower them. • Write well-tested, high-quality, and performant code for data processing, platform automation, and infrastructure management. • Lead technical initiatives for the data platform from an engineering perspective. • Mentor and coach engineers and other technical team members.

🎯 Requirements

• Proven technical leadership driving data platform architecture, and influencing technical roadmaps • Deep, hands-on experience with real-time/event-driven systems (e.g., Kafka, Pub/Sub), data warehousing/modeling, and orchestration tools (e.g., Airflow) to create reusable patterns for data consumers • Mastery of Infrastructure as Code (IaC) (e.g., Terraform) for managing complex, production-grade data infrastructure • A team first attitude, you enjoy mentoring others and sharing knowledge because you believe that rising tides lift all boats • A track record of building platform capabilities that enable at least one of: self-service, real-time analytics, robust data governance • A continuous drive to stay at the forefront of data engineering technologies and platform best practices, championing their adoption to drive innovation.

🏖️ Benefits

• Equity package 📈 • Unlimited holidays 🏝 • Paid parental leave 🍼 • Annual training budget 💻 • Home office setup allowance 🪑 • Monthly budget to spend on our products 💰 • Working in a disruptive and fast-growing industry where the possibilities are endless 🚀 • Freedom, autonomy and responsibility 💪

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