Staff Software Engineer, Data at LinkedIn

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Jun, 26

Salary

235000.0

Posted On

20 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Spring, Flask, Restful Apis, Relational Databases, Ux Design, Technical Leadership, Data Visualization, Architecture, Design, Front-End, Back-End, Application Development, Data Science, Machine Learning Platforms, Source Control

Industry

Software Development

Description

Company Description LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Job Description This role will be based in Sunnyvale. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. 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 dataweb 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. Proactively leverage AI tools to improve team productivity. ● 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. Qualifications 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: ● PythonSpring/Flask ● Relational DatabasesUX 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 $144,000 to $235,000. 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. Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are 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 committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. 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 [email protected] 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. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal. Workplace Type: Hybrid Career Track & Grade: IC4/9 Department: Engineering

Responsibilities

This role involves guiding and building applications that empower Data Scientists, working end-to-end on 0 to 1 efforts rather than just incremental features. Responsibilities include building data web applications, leading architecture and design for novel data applications, and owning application development for internal products.