LinkedIn ยท 1 month ago
Senior Data Engineer - Data Science
Mountain View, CA
Full-time
Hybrid
Mid, Senior Level
$125K/yr - $206K/yr
3+ years expLinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. The Senior Data Engineer will leverage big data to empower business decisions and deliver data-driven insights, collaborating with cross-functional teams to develop infrastructure and tools that enable data-driven decision-making.
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Responsibilities
Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities and build scalable data solutions
Build data expertise, act like an owner for the company and manage complex data systems for a product or a group of products
Perform all of the necessary data transformations to serve products that empower data-driven decision making
Build and manage data pipelines, design and architect databases
Establish efficient design and programming patterns for engineers as well as for non-technical partners
Design, implement, integrate and document performant systems or components for data flows or applications that power analysis at a massive scale
Ensure best practices and standards in our data ecosystem are shared across teams
Understand the analytical objectives to make logical recommendations and drive informed actions
Engage with internal platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms
Be a self-starter, Initiate and drive projects to completion with minimal guidance
Contribute to engineering innovations that fuel LinkedIn's vision and mission
Qualification
Required
Bachelor's Degree in a quantitative discipline: Computer science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc
3+ years of relevant industry or relevant academia experience working with large amounts of data
Experience with SQL/Relational databases
Background in at least one programming languages (e.g., R, Python, Java, Scala, PHP, JavaScript)
Preferred
BS and 5+ years of relevant work experience, MS and 3+ years of relevant work experience, or Ph.D. and 1+ years of relevant work/academia experience working with large amounts of data
MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc
Experience in developing data pipelines using Spark and Hive
Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance. Experience with manipulating massive-scale structured and unstructured data
Experience with using distributed data systems such as Spark and related technologies (Presto/Trino, Hive, etc.)
Experience with either data workflows/modeling, front-end engineering, or back-end engineering
Deep understanding of technical and functional designs for relational and MPP Databases
Experience in data visualization and dashboard design including tools such as Tableau, R visualization packages, streamlit, D3, and other libraries, etc
Knowledge of Unix and Unix-like systems, version control systems such as Git
Distributed Systems
ETL
Data Modeling
Benefits
Generous health and wellness programs
Time away for employees of all levels
Annual performance bonus
Stock
Benefits and/or other applicable incentive compensation plans
Company
LinkedIn is a professional networking site that allows users to create business connections, search for jobs, and find potential clients. It is a sub-organization of Microsoft.
10001+ employees
H1B Sponsorship
LinkedIn has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (892)
2024 (1108)
2023 (913)
2022 (1580)
2021 (1043)
2020 (1146)
Funding
Current Stage
Public CompanyTotal Funding
$154.8MKey Investors
Bain Capital VenturesGreylockSequoia Capital
2016-06-13Acquired
2016-02-15Private Equity
2014-04-01Series Unknown
Leadership Team
Ryan Roslansky
Chief Executive Officer
Dan Shapero
Chief Operating Officer
Recent News
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2026-01-11
2026-01-10
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