Experienced Data Engineer for Big Data Solutions - Remote Opportunity with NIKE, Inc.
Join the NIKE Team: Where Innovation Meets Passion
At NIKE, Inc., we're not just about creating the world's most iconic athletic wear; we're about pushing the boundaries of what's possible. We're a company that thrives on innovation, diversity, and imagination. As a leader in the sportswear industry, we're committed to fostering a culture that rewards creativity, skill, and passion. If you're a motivated individual looking to grow and make a meaningful impact, we invite you to explore this exciting opportunity to join our team as a Data Engineer.
About the Role
As a Data Engineer at NIKE, Inc., you'll play a critical role in designing and implementing data products and features that drive business decisions. You'll collaborate with product owners, data analysts, and business partners to develop scalable data solutions that meet the needs of our ever-evolving organization. This is a remote opportunity that allows you to work from anywhere, with the flexibility to balance your work and personal life.
Key Responsibilities
Design and implement data products and features in collaboration with cross-functional teams.
Contribute to the overall architecture, frameworks, and standards for processing and evaluating big data.
Evaluate new technologies, tools, and frameworks aimed at processing large volumes of data.
Translate product backlog items into logical units of engineering work.
Implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem.
Build tools, user-defined functions, libraries, and frameworks to better enable data flow patterns.
Collaborate with engineering leads and other teams to ensure quality solutions are implemented and technical best practices are defined and followed.
Create and participate in automated unit tests and participate in integration tests.
Use and extend continuous integration and deployment frameworks.
Troubleshoot data issues and perform root cause analysis.
Work in teams to resolve operational and performance issues.
Essential Qualifications
To be considered for this role, you must have:
A Master's degree in Computer Science, Information Technology, or Computer Information Systems.
At least 2 years of experience in a data engineering or computer-related position.
Proficiency in the following technologies and skills:
Spark
Hive
Python
AWS
Apache Airflow
EMR
Data Bricks
Data Structures
Algorithms
Automated Unit Testing
CI/CD
Create Data Feeds
Hadoop
Preferred Qualifications
While not required, the following qualifications will give you a competitive edge:
Experience with cloud-based data platforms.
Knowledge of data governance and data quality.
Familiarity with Agile development methodologies.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.
What We Offer
At NIKE, Inc., we're committed to providing a comprehensive benefits package that supports your overall well-being and career growth. Some of the benefits you can expect include:
Health Insurance: Health, dental, and vision insurance.
Wellness Programs: Access to exercise and wellness programs to promote a healthy lifestyle.
Employee Assistance Program (EAP): Confidential counseling services and resources for employees and their families.
Retirement Benefits: 401(K) plans and active contributions.
Paid Leave: Time off for holidays, personal days, and sick leave.
Employee Discounts: Discounts on Nike products and apparel.
Professional Development: Opportunities for skill development and career advancement.
Flexible Work Arrangements: Flexible work options and remote hours where available.
Paid Parental Leave: Supporting new parents with paid leave options.
Employee Recognition Programs: Recognition and rewards for outstanding performance and contribution.
Sustainability Initiatives: Opportunities to participate in projects related to sustainability.
Career Growth Opportunities
As a Data Engineer at NIKE, Inc., you'll have the opportunity to work on complex data projects that drive business decisions. You'll collaborate with cross-functional teams to develop scalable data solutions and contribute to the overall architecture of our data ecosystem. With our commitment to innovation and customer satisfaction, you'll have the chance to grow and develop your skills in a dynamic and fast-paced environment.
Work Environment and Company Culture
At NIKE, Inc., we're proud of our company culture that values diversity, inclusion, and creativity. We believe in fostering a work environment that's collaborative, innovative, and fun. As a remote employee, you'll be part of a global team that's connected and committed to our mission.
Compensation and Perks
We're offering a competitive hourly rate of $27/hour for this role. In addition to the benefits mentioned earlier, you'll have access to a range of perks, including employee discounts, flexible work arrangements, and opportunities for professional development.
Conclusion
If you're a motivated and experienced Data Engineer looking to join a dynamic and innovative company, we encourage you to apply for this exciting opportunity. At NIKE, Inc., we're committed to fostering a culture that rewards creativity, skill, and passion. Join our team and be part of a company that's shaping the future of sportswear.
Apply Now
Apply Now
At NIKE, Inc., we're not just about creating the world's most iconic athletic wear; we're about pushing the boundaries of what's possible. We're a company that thrives on innovation, diversity, and imagination. As a leader in the sportswear industry, we're committed to fostering a culture that rewards creativity, skill, and passion. If you're a motivated individual looking to grow and make a meaningful impact, we invite you to explore this exciting opportunity to join our team as a Data Engineer.
About the Role
As a Data Engineer at NIKE, Inc., you'll play a critical role in designing and implementing data products and features that drive business decisions. You'll collaborate with product owners, data analysts, and business partners to develop scalable data solutions that meet the needs of our ever-evolving organization. This is a remote opportunity that allows you to work from anywhere, with the flexibility to balance your work and personal life.
Key Responsibilities
Design and implement data products and features in collaboration with cross-functional teams.
Contribute to the overall architecture, frameworks, and standards for processing and evaluating big data.
Evaluate new technologies, tools, and frameworks aimed at processing large volumes of data.
Translate product backlog items into logical units of engineering work.
Implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem.
Build tools, user-defined functions, libraries, and frameworks to better enable data flow patterns.
Collaborate with engineering leads and other teams to ensure quality solutions are implemented and technical best practices are defined and followed.
Create and participate in automated unit tests and participate in integration tests.
Use and extend continuous integration and deployment frameworks.
Troubleshoot data issues and perform root cause analysis.
Work in teams to resolve operational and performance issues.
Essential Qualifications
To be considered for this role, you must have:
A Master's degree in Computer Science, Information Technology, or Computer Information Systems.
At least 2 years of experience in a data engineering or computer-related position.
Proficiency in the following technologies and skills:
Spark
Hive
Python
AWS
Apache Airflow
EMR
Data Bricks
Data Structures
Algorithms
Automated Unit Testing
CI/CD
Create Data Feeds
Hadoop
Preferred Qualifications
While not required, the following qualifications will give you a competitive edge:
Experience with cloud-based data platforms.
Knowledge of data governance and data quality.
Familiarity with Agile development methodologies.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.
What We Offer
At NIKE, Inc., we're committed to providing a comprehensive benefits package that supports your overall well-being and career growth. Some of the benefits you can expect include:
Health Insurance: Health, dental, and vision insurance.
Wellness Programs: Access to exercise and wellness programs to promote a healthy lifestyle.
Employee Assistance Program (EAP): Confidential counseling services and resources for employees and their families.
Retirement Benefits: 401(K) plans and active contributions.
Paid Leave: Time off for holidays, personal days, and sick leave.
Employee Discounts: Discounts on Nike products and apparel.
Professional Development: Opportunities for skill development and career advancement.
Flexible Work Arrangements: Flexible work options and remote hours where available.
Paid Parental Leave: Supporting new parents with paid leave options.
Employee Recognition Programs: Recognition and rewards for outstanding performance and contribution.
Sustainability Initiatives: Opportunities to participate in projects related to sustainability.
Career Growth Opportunities
As a Data Engineer at NIKE, Inc., you'll have the opportunity to work on complex data projects that drive business decisions. You'll collaborate with cross-functional teams to develop scalable data solutions and contribute to the overall architecture of our data ecosystem. With our commitment to innovation and customer satisfaction, you'll have the chance to grow and develop your skills in a dynamic and fast-paced environment.
Work Environment and Company Culture
At NIKE, Inc., we're proud of our company culture that values diversity, inclusion, and creativity. We believe in fostering a work environment that's collaborative, innovative, and fun. As a remote employee, you'll be part of a global team that's connected and committed to our mission.
Compensation and Perks
We're offering a competitive hourly rate of $27/hour for this role. In addition to the benefits mentioned earlier, you'll have access to a range of perks, including employee discounts, flexible work arrangements, and opportunities for professional development.
Conclusion
If you're a motivated and experienced Data Engineer looking to join a dynamic and innovative company, we encourage you to apply for this exciting opportunity. At NIKE, Inc., we're committed to fostering a culture that rewards creativity, skill, and passion. Join our team and be part of a company that's shaping the future of sportswear.
Apply Now
Apply Now