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.
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This role will be based in Sunnyvale, San Francisco, Chicago, or New York.
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.
The Analytics Engineer, Marketing Strategy & Technology Data Foundations will support the development and maintenance of scalable data foundations, pipelines, and analytics solutions that enable the Marketing Strategy & Technology organization. You will partner closely with Analytics Engineering, Sales, Strategy & Operations, Engineering, and Data teams to help deliver reliable, high-quality data products that support critical business workflows and decision-making.
This is a hands-on analytics engineering role focused on building, improving, and operating foundational data solutions. You will contribute to the development of data pipelines, curated datasets, monitoring frameworks, and data quality processes that improve the reliability, scalability, and usability of core data assets. Working alongside senior analytics engineers, you will operate within established architectural patterns and engineering standards while continuing to grow your technical and business expertise.
This role is a strong opportunity for someone looking to deepen their experience in analytics engineering within a high-impact business environment. You will contribute to foundational data systems used across the organization, collaborate directly with cross-functional partners, and gain exposure to large-scale data operations and production-grade data management practices.
The ideal candidate has strong technical fundamentals in SQL, Python, data modeling, and distributed data systems, enjoys solving data and operational challenges, communicates effectively with technical and business stakeholders, and is eager to continuously learn and grow within a collaborative engineering environment.
Responsibilities
Basic Qualifications
Preferred Qualifications
Suggested Skills:
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is 112,000 to 185,000.
Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more 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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