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McKinsey & Company Data Engineer - McKinsey Digital in Seattle, Washington

DigitalData Engineer - McKinsey Digital Who You'll Work WithYou will be based in one of our core offices for McKinsey Digital.Despite being part of a large, multinational organization, our group works more like a small startup company, where differences are appreciated. Our development teams are small, flexible, and employ agile methodologies to quickly provide our consultants with the solutions they need. We combine the latest open source technologies with traditional enterprise software products. Our office culture is casual, fun, and social, with an emphasis on education and innovation. With McKinsey, you'll have the freedom to try new ideas and be creative, constantly learning and growing. We also emphasize mentoring, coaching, and support to help you build on your current skills.McKinsey Digital uses the latest technology disruptions (e.g., cloud, big data, mobile, agile, software development) and a team of talented technologists to rapidly build and deploy custom web and mobile Business intelligence applications for our clients. McKinsey Digital works closely with our consultants and clients to develop a deep understanding of business needs and create tools that enable our clients to be more productive (e.g., equip frontline with mobile sales app) and make timely decisions (e.g., management dashboards). McKinsey Digital end-products range from building iPad demos and dashboards, to embedding Excel models in existing client applications, to standing-up advanced analytics technology environments or SaaS solutions, and to building targeted web/mobile applications.What You'll DoYou will apply your passion for finding opportunities in data by using established tools and techniques, or by innovating/building new ones.You will collaborate with highly talented business consultants to design and drive architecture and implementation planning for our clients and act as a big data evangelist, educating McKinsey's and client's teams on data engineering topics.You'll do meaningful work that makes a real difference with our clients. This is a hybrid client-facing/technical role using state-of-the-art technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences.QualificationsBachelor's degree in computer science or engineering; Master's degree preferredExperienced on Big Data platforms and tools like AWS, Azure, GCP and tools like Spark, Kafka, Snowflake, GCS Data Proc, Azure DataFactory, AWS Glue, Apache Beam/Flink, Python/PySpark. etc.Experienced with data modeling, design patterns, building highly scalable and secured solutions, distributed systemsSolid grasp of ETL across various platformsKnowledge of agile software development process and familiarity with performance metric toolsKnowledge of web application development technologies such as Ruby on Rails, Java, UNIX, HTML, CSS, Perl, or PHP is a plusStrong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions; tolerance in dealing with bad quality dataProficiency in visualization tool (Tableau, D3, etc.)Distinct customer focus and quality mindsetAbility to see from and sell to multiple viewpointsAbility to work at an abstract level and build consensus; ability to work both independently and with a teamAbility to work efficiently with a solid sense for setting prioritiesAbility to guide own learning and contribute to domain knowledge buildingExcellent interpersonal, leadership, and communication skillsStrong command of the English language (both verbal and written)COVID-19 vaccination mandate:Employment with McKinsey & Company, Inc. in the United States and Canada is conditioned on proof of full vaccination against the COVID-19 virus (with a WHO-approved or Health Canada-approved COVID-19 v