Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology; contribute to overall architecture, frameworks and patterns for processing and storing large data volumes; evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing; drive the implementation of new data projects and the optimization of existing solutions; translate product backlog items into engineering designs and logical units of work; profile and analyze data for the purpose of designing scalable solutions; define and apply appropriate data acquisition and consumption strategies for given technical scenarios; design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem; build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns; implement complex automated routines using workflow orchestration tools; drive collaborative reviews of designs, code, and test plans; work with architecture, engineering leads and other teams to ensure quality solutions are implemented, and engineering standard methodologies are defined and followed; anticipate, identify and tackle issues concerning data management to improve data quality; build and incorporate automated unit tests and participate in integration testing efforts; utilize and advance continuous integration and deployment frameworks; solve complex data issues and perform root cause analysis; collaborate closely with Product team counterparts; work across teams to resolve operational & performance issues; provide work estimates and represent work progress and challenges; identify and remove technical bottlenecks for your engineering squad; and provide leadership, guidance and mentorship to other data engineers. Telecommuting is available from anywhere in the U.S., except from SD, VT, and WV.
Employer will accept a Master’s degree in Computer Science, Information Technology, or Information Systems and two (2) years of experience in the job offered or in an engineering-related occupation.
Experience must include:
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Python;
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SQL;
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Spark;
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AWS;
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Big Data;
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Airflow;
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Data Warehousing;
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Data Modeling;
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SCALA;
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Docker;
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Data Transformation and Integration; and
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Data analysis
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What We Do
At NIKE, Inc., it’s in our nature to innovate and our mission is to bring inspiration and innovation to every athlete* in the world [if you have a body, you’re an athlete]. Because we exist to serve athletes, we dare to design the future of sport. To us, innovation is about elevating human potential. We obsess over the needs of athletes of all abilities, using their insights to create products that are beautiful, useful and make all athletes better. To make big leaps, we take big risks. Incremental change won’t get us to where we want to go fast enough. So we pursue moonshots — like developing the first self-lacing shoe, running the first two-hour marathon and committing to 100% renewable energy use in our facilities. We embrace different perspectives — from scientists and designers to coders and quarterbacks — because we know everyone brings unique experiences and ideas to the team. To serve athletes across the hundreds of countries where NIKE does business, we need teams that truly reflect the diversity of our consumers and a culture of inclusivity. We aim to foster inclusion and embrace diversity throughout our business, teams, and culture to create breakthrough innovations, empower teammates to realize their full potential and bring us closer to the communities we serve. NIKE's diverse, high-performing teams around the world are united in purpose and inspired to change the world through sport.
Why Work With Us
With a global footprint, culture of innovation and team-first mentality, we take action to create a future of continual progress for athletes, sport and our world. Whether our job is designing the ultimate sneaker or coding a revolutionary app, we’re united by the same mission: to bring inspiration and innovation to every athlete in the world.
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