Lead Software Engineer – NIKE Inc., Beaverton, OR. 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; implements solutions taking into consideration future implications; work with non-routine information and develops 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, and 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; and 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. Must have a Bachelor’s degree in Computer Science, Engineering and 5 years of post-baccalaureate experience in the job offered or in a Engineering-related occupation.
Position requires:
Spark for Data Engineering including batch and streaming pipelines
Advance 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 datawarehousing 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
Apply at www.jobs.nike.com (Job# R-90232)
#LI-DNI
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.
Skills Required
- Bachelor's degree in Computer Science or Engineering
- 5 years of post-baccalaureate experience in the job offered or an engineering-related occupation
- 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, and EC2
- Airflow for ETL pipeline orchestration
- Snowflake for data warehousing and petabyte-scale data lakes
- Hive on Hadoop ecosystems
- Unix programming
- Data architecture supporting petabyte-scale LakeHouse implementations
- Data modeling supporting complex LakeHouse implementations and reporting solutions
Nike Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nike and has not been reviewed or approved by Nike.
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Retirement Support — A 401(k) with a company match is complemented by options such as a Mega Backdoor Roth and deferred compensation for eligible earners. Financial coaching and structured savings programs support long-term financial security.
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Equity Value & Accessibility — An Employee Stock Purchase Plan with a stock discount sits alongside broad-based equity vehicles like RSUs and non-qualified stock options. These avenues expand wealth-building opportunities beyond base pay.
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Parental & Family Support — Paid parental leave includes maternity and paternity time, recently expanded in the U.S. to 16 weeks and extended to part-time retail teammates. Additional supports include childcare assistance at select locations and family-building benefits such as fertility, surrogacy, and adoption.
Nike Insights
What We Do
At NIKE, Inc., we innovate to serve athletes*. Every teammate - from coder to creator - plays a role in making these athletes’ dreams real. Our tech, data, and digital teams push limits every day, building the future of sport and the tools that drive it. Here, curiosity is fuel. Innovation is the game plan. Different perspectives keep us on the offense. You’ll solve challenges worth tackling, grow fast and belong to a team that backs you to do the right thing. Bring your drive. Bring your bold. Let’s move the world, together. Take your first step at nike.com/careers * If you have a body, you’re an athlete.
Why Work With Us
At NIKE, Inc., your dedication fuels the future of sport. There is a sense of pride that comes from representing an iconic brand and shaping its future. Here, we treat every day as a new opportunity to push boundaries, ask tough questions and share whole-hearted convictions. We are a team – united by the belief that anything is possible.
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