Staff Data Engineer - Information Security

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.

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.

This job requires an engineer who is adept at both building software solutions as well as understanding and integrating with industry standard tools and methods around security monitoring. The ideal candidate will have professional experience with Python, Java and/or other programming languages and be ready to expand their breadth of knowledge as the team and role evolves. Our ideal candidate will also be comfortable working in Azure environments and data pipeline solutions and will have a strong background in data engineering and security. We are looking for an Engineer with a growth mindset. This is a dynamic role on a dynamic team, we do what it takes to solve the security challenges we are faced with.

Responsibilities:

• You will lead, drive, and implement secure software solutions for security monitoring, detection and remediation using Java, Python and other languages when necessary.

• You are expected to collaborate with partners within the team as well as across the organization and company to collect requirements and provide mutually beneficial outcomes.

• You will execute on the goals of the team, delivering end to end solutions that balance the needs of the business and the maintainability of software.

• You are expected to participate and contribute to the projects owned by other team members and partners.

Basic Qualifications:

• BA/BS Degree in Computer Science or related technical discipline, or related practical experience.

• 4+ years experience in software design, development, and algorithm related solutions.

• 4+ years programming experience in object-oriented programming languages such as GoLang, Python, Java, Javascript, C/C++, C#, Rust.

Preferred Qualifications:

• BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience.

• Experience in designing and building infrastructure and web services at large scale, especially across hybrid cloud and on-premise environments.

• Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design.

• Prior experience with Security and/or Data Engineering strongly preferred.

Suggested Skills:

• Data Pipelines & Big Data Engineering

• Information Security

• Detection and Response 

• SIEM Management/Engineering

• Cloud infrastructure management and architecture

• Incident Management

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 $152,000 - $248,000. 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, benefits and/or other applicable incentive compensation plans. For additional information, visit: https://careers.linkedin.com/benefits.

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.

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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.

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Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

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