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Who are we looking for:

We seek a passionate Senior Data Engineer to help work on Nike’s robust AI and machine learning solutions for Bot Detection that have a direct impact on the business.

As part of a broader team of AI/ML, Software, and Data Engineers, you will be a pioneer in developing data engineering capabilities, expected to own data engineering pipelines for Bot Detection end-to-end – from conception to operationalization, demonstrating an understanding of the full software development lifecycle.

As a result, you will be expected to provide technical vision and guidance to your teammates; therefore, strong communication skills are essential in this role.

What will you work on:

If this is you, you’ll be working with the AI and Machine Learning (AIML) team at Nike. With teammates in Portland, Boston, China, and Poland, you’ll be joining a global organization working to develop scalable Data and ML Pipeline. This role will be a critical one in supporting North American timezones and collaborators globally.

You’ll be designing and implementing scalable and secure ML & Data Products that bring Data Science applications live to have an immense business impact.

You’ll also contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development. You thrive when surrounded by hardworking colleagues and aim to never stop learning.

We are looking for candidates who enjoy a collaborative and academic environment where we develop and share new skills, mentor, and drive to deliver knowledge and software back to the analytics and engineering communities both within Nike and at large. We value and cultivate our culture by seeking to always be collaborative, intellectually curious, fun, open, and diverse.

Who will you work with:

In this role, you’ll be working closely with the rest of our world-class and global team, along with Bot Mitigation Team, Enterprise Platforms, and Solution Architecture. This role reports to the Global Director of AI/ML Bot Detection.

Post Name Senior Data Engineer 
Salary USD 125000 To USD 135000 Per Year
Company Name Nike
Education Required MS/BS in Computer Science

Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be.

The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders, and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.

NIKE is a technology company. From our flagship website and five-star mobile apps to developing products, managing big data, and providing leading-edge engineering and systems support, our teams at NIKE Global Technology exist to revolutionize the future at the confluence of tech and sport.

We invest and develop advances in technology and employ the most creative people in the world, and then give them the support to constantly innovate, iterate and serve consumers more directly and personally.  Our teams are innovative, diverse, multidisciplinary, and collaborative, taking technology into the future and bringing the world with it.

What you bring:

  • MS/BS in Computer Science, or related technical subject area or equivalent combination of relevant education, experience, and training.
  • 5+ years of demonstrable experience in the field of Data and Software Engineering.
  • Understanding of Machine learning / deep learning algorithms and working experience with all steps of the ML Lifecycle is preferred.
  • Expertise in relational Shell, Python, SQL, and Spark
  • Experience in Amazon Web Services (AWS) or other cloud platform tools.
  • Experience working with Data warehousing tools, including DynamoDB, Hbase, SQL, Amazon Redshift, Snowflake, and Graph Databases.
  • Experience architecting data products in Streaming, Serverless, and Microservices Architecture and platforms.
  • Experience working with Data platforms, including EMR, Data Bricks, SageMaker, Feature Store, etc.
  • Anticipate, identify and solve issues concerning data quality.
  • Implement automated workflows and routines using workflow scheduling tools like Airflow and Kubeflow
  • Experience working with distributed technology tools, including Spark, Presto, Scala, Python, and Airflow.
  • Proven ability to partner with others in solving complex problems by taking a broad perspective to identify innovative solutions.
  • Solid skills in building positive relationships across Product and Engineering.
  • Solid understanding of data structures, algorithms, and data solutions.
  • Effective communication skills (with team members, the business, and in code)

Open to remote work, except cannot work in South Dakota, Vermont, and West Virginia. These candidates will be required to relocate.

For employees based in Colorado, this position starts at $107,500 per year. Information about benefits can be found here.

Nike requires all applicants for this position to be vaccinated for COVID-19 as a condition of hire unless otherwise required by law. As an equal opportunity employer, Nike will make accommodations for individuals who cannot be vaccinated in accordance with applicable law.

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, a casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.

NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Industry Private 
Schedule Type Full Time
Location United States 
Remote Yes

Interview Questions for Senior Data Engineer:

  1. What is Data Engineering?
  2. Why did you choose a career in Data Engineering?
  3. How Does a Data Warehouse Differ from an Operational Database?
  4. As a Data Engineer, How Have You Handled a Job-Related Crisis?
  5. Do You Have Any Experience with Data Modeling?
  6. Why are you interested in this job, and why should we hire you? 
  7. What are the essential skills required to be a data engineer?
  8. Can you name the essential frameworks and applications for data engineers?
  9. Are you experienced in Python, Java, Bash, or other scripting languages?
  10. Can you differentiate between a Data Engineer and Data Scientist?
  11. What, according to you, are the daily responsibilities of a data engineer?
  12. What is your approach to developing a new analytical product as a data engineer?
  13. What was the algorithm you used on a recent project?
  14. What tools did you use in a recent project?

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