Data Engineer at Nike

Beaverton, Oregon, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Consumer Goods, RetailIndustries

Requirements

Bachelor’s degree in Engineering or Information Technology
5 years of progressive, post-baccalaureate experience in Data Engineering or engineering-related occupation
Experience with Python
Experience with Airflow
Experience with SQL
Experience with Spark
Experience with Cloud – AWS/Azure
Experience with Databricks
Experience with Snowflake
Experience with Data Pipeline Design

Responsibilities

Build and deliver scalable data and analytics solutions focused on Consumer and Marketplace data products
Design, implement, and integrate new technologies and evolve data and analytics products
Contribute to all aspects of data engineering from ingestion, transformation, and consumption
Design and build test-driven development, reusable frameworks, automated workflows, and libraries at scale to support analytics products
Participate in architecture and design discussions to process and store high-volume data sets
Drive the delivery of scalable data and analytics solutions
Implement and integrate new technologies
Manage and evolve the data lake
Collaborate with other engineers, analysts, and business partners
Analyze information to determine, recommend, and plan installation of a new system or modification of an existing system
Analyze user needs and software requirements to determine feasibility of design within time and cost constraints
Confer with data processing or project managers to obtain information on limitations or capabilities for data processing projects
Confer with systems analysts, engineers, programmers, and others to design systems and to obtain information on project limitations, capabilities, performance requirements, and interfaces
Consult with customers or other departments on project status, proposals, or technical issues, such as software system design or maintenance
Coordinate installation of software systems
Design, develop, and modify software systems, using scientific analysis and mathematical models to predict and measure outcomes and consequences of design
Develop or direct software system testing or validation procedures, programming, or documentation
Modify existing software to correct errors, adapt it to new hardware, or upgrade interfaces and improve performance
Monitor functioning of equipment to ensure system operates in conformance with specifications
Obtain and evaluate information on factors such as reporting formats required, costs, or security needs to determine hardware configuration
Prepare reports or correspondence concerning project specifications, activities, or status
Recommend purchase of equipment to control dust, temperature, or humidity in area of system installation
Specify power supply requirements and configuration
Store, retrieve, and manipulate data for analysis of system capabilities and requirements
Supervise and assign work to programmers, designers, technologists, technicians, or other engineering or scientific personnel

Skills

Key technologies and capabilities for this role

Data EngineeringScalable Data SolutionsData IngestionData TransformationData LakeTest-Driven DevelopmentAutomated WorkflowsArchitecture DesignHigh-Volume Data ProcessingSoftware DevelopmentSystem DesignSQLPythonETLAnalytics Products

Questions & Answers

Common questions about this position

Is remote work available for this Data Engineer position?

Telecommuting is available from anywhere in the U.S., except from SD, VT, and WV.

What are the required skills and experience for this role?

Candidates must have a Bachelor’s degree in Engineering or Information Technology and 5 years of progressive post-baccalaureate experience, including Python, Airflow, SQL, Spark, Cloud (AWS/Azure), Databricks, Snowflake, and Data Pipeline.

What is the salary for this Data Engineer position?

This information is not specified in the job description.

What does the team collaboration look like in this role?

The role involves collaborating with other engineers, analysts, and business partners, as well as conferring with data processing or project managers, systems analysts, engineers, programmers, and others on system design and project limitations.

What makes a strong candidate for this Data Engineer job?

A strong candidate will have a Bachelor’s degree in Engineering or Information Technology plus 5 years of progressive experience in data engineering, with hands-on expertise in Python, Airflow, SQL, Spark, AWS/Azure, Databricks, Snowflake, and building data pipelines.

Nike

Designs and sells athletic footwear and apparel

About Nike

Nike designs, manufactures, and sells a variety of footwear, apparel, equipment, and accessories aimed at athletes, fitness enthusiasts, and everyday consumers. Their products are created to be stylish and performance-oriented, catering to the needs of a diverse clientele. Nike operates through multiple sales channels, including retail stores, online platforms, and third-party retailers, and enhances its brand image through endorsements from well-known athletes and sports teams. A key aspect of Nike's approach is its membership program, which offers exclusive access to products and content, fostering a deeper connection with consumers. Unlike many competitors, Nike places a strong emphasis on sustainability and corporate responsibility, integrating these values into its operations and product development. The company's goal is to continue growing by creating products that resonate with consumers while promoting positive social and environmental impact.

Beaverton, OregonHeadquarters

1964Year Founded

IPOCompany Stage

Consumer Software, Social Impact, Consumer GoodsIndustries

10,001+Employees

Benefits

Health Insurance

Remote Work Options

Flexible Work Hours

Risks

Emerging sportswear brands increase competition through digital marketing and direct sales.

Rising raw material costs could impact Nike's profit margins.

Consumer backlash over labor practices could harm Nike's brand reputation.

Differentiation

Nike integrates electronics into footwear for active recovery, enhancing product innovation.

The company capitalizes on retro designs, appealing to nostalgic consumers.

Nike's strong brand loyalty is bolstered by high-profile athlete endorsements.

Upsides

Nike's partnership with Oaklands Wolves boosts brand visibility among younger demographics.

Significant investments indicate strong investor confidence in Nike's growth prospects.

Nike's recognition as a socially responsible stock appeals to environmentally conscious investors.

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