Data Engineer - QuantumBlack

Who You'll Work WithDriving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.When you join us, you will have:Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.Your ImpactYou will work on real-world, high-impact projects across a variety of industries; you will have the opportunity to collaborate with QuantumBlack/Labs teams and build complex and innovative ML systems to accelerate our work in AI – and help solve business problems at speed and scale.You will experience the best environment in which to grow as a technologist and a leader. You will develop a sought-after perspective connecting technology and business value by working on real-life problems across a variety of industries and technical challenges to serve our clients on their changing needs.You will be surrounded by inspiring individuals as part of diverse and multidisciplinary teams. You will develop a holistic perspective of AI by partnering with the best design, technical, and business talent in the world as your team members.As a Data Engineer, you will:Help to build and maintain the technical platform for advanced analytics engagements, spanning data science and data engineering workDesign and build data pipelines for machine learning that are robust, modular, scalable, deployable, reproducible, and versionedCreate and manage data environments and ensure information security standards are maintained at all timesUnderstand clients data landscape and assess data qualityMap data fields to hypotheses and curate, wrangle, and prepare data for use in advanced analytics modelsHave the opportunity to contribute to R&D projects and internal asset developmentContribute to cross-functional problem-solving sessions with your team and our clients, from data owners and users to C-level executives, to address their needs and build impactful analytics solutionsYour Qualifications and SkillsDegree in computer science, engineering, mathematics, or equivalent experience~10 years of experience building data pipelines in a professional settingThe title will be determined through a comprehensive evaluation of professional experience and interview performanceAbility to write clean and maintainable code in an object-oriented language, e.g., Python, Scala, JavaFamiliarity with analytics libraries (e.g. pandas, numpy, matplotlib), distributed computing frameworks (e.g. Spark, Dask), and cloud platforms (e.g. AWS, Azure, GCP)Exposure to software engineering concepts and best practices, inc. DevOps, DataOps and MLOps will be beneficialWillingness to travelFluent in Korean and in English