Staff Software Engineer - Data Applications

LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.

LinkedIn’s Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. This person will work with the rest of data science team and other cross function partners to work on a wide list of projects from generalized tools, implementations of complex analyses, prototypes of new methodologies from our Applied Research partner team, or collaborations with other engineering teams to enhance products for Data Science specific needs.You will be responsible for guiding and building the applications that empower our Data Scientists. This is a unique opportunity to work end-to-end on 0 to 1 efforts as opposed to just incremental features of large established products.

Responsibilities

• Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities and build scalable data solutions.
• Establish efficient design and programming patterns for engineers as well as for non-technical partners.
• Build web applications and platforms that enable producers and consumers of data insights to work smarter and more efficiently.
• Lead the architecture and design of both front-end and back-end for novel data applications.
• Own the application development for one or more of our internal products and collaborate with other engineers, data scientists, and product managers to launch new products, iterate on existing features, and build a world-class user experience.
• Engage with internal data platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms.
• Contribute to engineering innovations that fuel LinkedIn’s vision and mission.

Basic Qualifications

• Bachelor’s Degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc.
• 5+ years of industry experience

Preferred Qualifications

• Experience writing RESTful APIs with modern frameworks (Spring/Flask).
• 7+ years of relevant work experience.
• MS or PhD in Computer Science or related technical discipline.
• Experience with data products and basic statistics.
• Experience creating data visualizations and UX design.
• Experience building data science or machine learning platforms.
• Familiarity with source control, testing frameworks, and all aspects of developing in large, distributed software teams.
• Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audiences.

Suggested Skills

• Spring/Flask
• Data Visualization
• UX Designs
• Technical Leadership

You will Benefit from our Culture

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $147,000 to $240,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock and benefits. For additional information, visit: https://careers.linkedin.com/benefits.

Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.

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If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

-Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

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