[Hiring] Lead Software Engineer @Nike

Role Description

Manage the coordination and overall integration of technical activities in engineering projects; direct, review or approve project design changes; assess project feasibility by analyzing technology, resource needs or market demand.

• Develop or implement policies, standards, or procedures for engineering and technical work.
• Establish technical goals within broad outlines provided by top management.
• Direct recruitment, placement and evaluation of engineering project staff.
• Extract meaning from data using specialized computer systems to transform, organize, and model the data to draw conclusions and identify patterns.
• Use practical application of data collection and analysis to design, manage and optimize the flow of data throughout the organization.
• Implement and execute strategies for a larger team (or multiple smaller teams) to deliver business results.
• Solve complex problems using limited information; implement solutions taking into consideration future implications.
• Work with non-routine information and develop recommendations to gain approval of ideas or services.
• Accountable for meeting short-term to medium-term targets that impact the department or team.
• Responsible for performance management, pay and resourcing decisions for direct reports.
• Responsible for the team's delivery of scalable data solutions to solve a customer need.
• Identify and solve enterprise issues concerning data management to improve data quality.
• Ensure the implementation of automated workflows, continuous integration, test-driven development and production deployment frameworks.
• Guide the team in identifying and solving data issues and performing root-cause analysis to actively resolve product issues.
• Collaborate with other data engineers in the review of design, code and test plans in support of maintaining data engineering standards.

Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.

Qualifications

• Bachelor’s degree in Computer Science, Engineering.
• 5 years of post-baccalaureate experience in the job offered or in an Engineering-related occupation.

Requirements

• Spark for Data Engineering including batch and streaming pipelines.
• Advanced SQL including complex queries, performance optimization and Big Data management.
• Python for data processing and workflow orchestration.
• Informatica for building complex ETL pipelines.
• AWS services including S3, EMR, Aurora DB, EC2.
• Airflow for ETL pipeline orchestration.
• Snowflake for data warehousing and Petabyte scale Data Lakes.
• Hive on Hadoop ecosystems.
• Unix programming.
• Data Architecture to support petabyte scale LakeHouse implementations.
• Data Modeling to support complex LakeHouse implementations and reporting solutions.

Company Description

Apply at www.jobs.nike.com (Job# R-90232)

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We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.