Dick's Sporting Goods

Pittsburgh
28,222 Total Employees
Year Founded: 2014

Dick's Sporting Goods Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers occupational accident insurance

Offers disability insurance

Offers supplemental life insurance

Offers accidental death & dismemberment insurance

Provides adoption assistance

Provides family medical leave

Offers childcare benefits

Offers generous parental leave

Offers company equity

Offers employee discounts

Offers performance bonuses

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Company Culture

Provides commuter benefits

Provides a mobile phone discount

Utilizes a flexible work schedule

Offers a remote work program

Offers diversity-based Employee Resource Groups

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid holidays

Provides bereavement leave

Offers paid volunteer time

Provides paid sick days

Provides military leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Provides tuition assistance

Retail • Sports
Lead a backend product team for the List & Services domain to design, build, and maintain high-performance APIs and data architecture. Drive technical direction, mentor engineers, conduct code reviews, own roadmaps, tune databases, resolve faults, and collaborate with product and cross-functional teams to deliver secure, scalable eCommerce services.
Retail • Sports
Senior iOS engineer responsible for building and maintaining Dick's Sporting Goods and Golf Galaxy mobile apps using SwiftUI and MVVM. Collaborate with designers, product managers, testers, and engineers to design, implement, test, and ship features, diagnose and fix defects, drive roadmap priorities, and mentor junior teammates while supporting program management and requirements gathering.
Retail • Sports
Design, build, and deploy search and recommendation ML systems (ranking, retrieval, personalization, query understanding) using embeddings and LLM approaches. Collaborate with engineers and product to create scalable data pipelines, integrate models via APIs, run A/B tests, and monitor online/offline metrics to improve relevance and engagement.