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Women in Big Data Founders

Staff Software Engineer – Systems and Infrastructure Data Privacy (Bellevue, WA)

LinkedIn
Published
December 8, 2021
Location
Bellevue, Washington
Category
Job Type

Description

Apply directly: https://www.linkedin.com/jobs/view/2796287095/

LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we make direct impacts on the world’s workforce in ways no other company can.

When using our services, our members bring their professional lives to the table, trusting us to be the means by which they participate in the global economy. A crucial part of earning that trust is providing users with insight and controls over their data and incorporating these preferences across all LinkedIn systems. The Privacy Engineering Team ensures that data privacy is built into every facet of LinkedIn’s infrastructure, environment, and culture, so that our users have the clarity and ability to easily manage how and when their data is used.

As a Staff Software Engineer, you will be a key technical leader within the Privacy Engineering organization, responsible for designing and leading projects in data governance and management. You will propose and deliver services that comprise our data handling infrastructure– creating and reviewing technical designs, making architectural decisions, and driving execution across teams of engineers. As a team lead, you will help define your team’s culture by being a role model, directly coaching and mentoring other engineers, and helping to define our strategic direction. You will work with partner teams such as data infrastructure, information security, AI, and data science on cross-team projects and initiatives. You will directly impact the future direction of data management, governance, and privacy across the entire company.

Creating an economic opportunity for every member of the global workforce is a responsibility we all share. To truly transform the global economy, we must evolve the way we hire and enable our talent to serve people of all backgrounds and experiences. LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer.

Hybrid Job Descriptions:

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.

Responsibilities:
● Deliver impact by driving innovation while building and shipping software in large-scale, cross functional, and company-wide critical programs
● Design, implement, optimize, and deliver critical software systems and infrastructure that manage and govern data usage across the company
● Mentoring other engineers, defining our challenging technical culture, and helping to build a fast-growing team
● Identify, leverage, and successfully evangelize opportunities to improve data privacy practices and team productivity
● Actively improve the level of craftsmanship at LinkedIn by defining and driving best practices
● Function as a tech lead for key initiatives in Privacy Engineering, helping to define the strategy and future of data management
● Due to business needs, this position will require working an 8:00AM to 5:00PM PT schedule

Basic Qualifications:
● BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience
● 4+ years of experience in software design and development
● Experience with leading and architecting enterprise and consumer applications

Preferred Qualifications:
● 6+ years experience in software design and development
● 6+ years of programming experience in an object-oriented programming language such as Java, C/C++
● Experience with large-scale distributed software infrastructures and client-server architectures
● Experience with privacy-related technologies (cookie management, encryption, identity/access management, etc)
● Experience in the design and implementation of data platforms and related disciplines, such as metadata services, data ingestion, data movement, data transformation, data governance, data science and data mining in on-prem, in the cloud, and hybrid environments.
● Experience in open-source projects and/or academic research in data privacy or data management

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://lnkd.in/equalemploymentopportunity2017. Please reference http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.

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 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.

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.

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
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice

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