The Data

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"There cannot be equity in society without equity in data collection, curation, and decisions."

Women in Big Data Founders

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

December 8, 2021
Sunnyvale, CA
Job Type


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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 directly impact 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 Senior Software Engineer within the Privacy Engineering organization, you will play a
critical role in the design, development, and support of services and projects in data governance,
compliance, and management. You will have an opportunity to work with partner teams such as
data infrastructure, information security, AI, and data science on cross-team projects and
initiatives. You will be part of the journey to impact the future direction of data management,
governance, compliance and privacy across the entire company. We are looking for a
results-driven candidate who can help coach team members and deliver at the highest levels of
quality and craftsmanship with a sense of urgency and ownership.

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.

● Design, implement, optimize, and deliver critical software systems and infrastructure that
manage and govern data usage across the company.
● Socialize your ideas as well as provide feedback on peer designs to improve the team's
craftsmanship and achieve operational excellence.
● Provide technical leadership, drive and perform best engineering practices to initiate,
plan, and execute large-scale, cross-functional, and company-wide critical programs.
● Work in a team environment, interacting with multiple groups on a daily basis and use
agile methodologies to break down your work into executable tasks and report the
progress and blockers at the right cadence.
● Mentor other engineers to help build a fast-growing team and help nurture talent in the
● Able to operate independently, be self-motivated, and demonstrate a growth mindset by
ideating, innovating, and learning state-of-the art technologies in the Data Privacy
domain as well as evangelizing them across and beyond the organization with Proof of
● 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
● 2+ years of experience in software design and development
● 2+ years experience programming in OOP languages like Java, Python, or C++

Preferred Qualifications:
● 4+ years experience in software development, design, or relevant work experience
● Experience with large-scale distributed software infrastructures, client-server
architectures, data infrastructure, frameworks and automation
● Experience with privacy-related technologies (cookie management, encryption,
identity/access management, etc) is a plus
● 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 is a plus
● Experience with or knowledge of BigData ecosystem & related technologies is a plus
● Experience in open-source projects and/or academic research in data privacy or data
management is a plus

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: Please reference and 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 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:

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:

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