Senior Software Engineer, Data Science
Description For Senior Software Engineer, Data Science
LinkedIn, the world's largest professional network with over 800 million members, is seeking a Senior Software Engineer for their Data Science team. This role combines technical expertise with business impact, focusing on leveraging big data to drive member engagement and business growth. The position offers a hybrid work arrangement, allowing flexibility between remote work and office presence.
The ideal candidate will be instrumental in building and managing data infrastructure that powers LinkedIn's data-driven decision-making processes. You'll work with cross-functional teams to develop scalable solutions that impact hundreds of millions of users worldwide. The role requires expertise in data engineering, with hands-on experience in technologies like SQL, Python, Java, or Scala.
Key responsibilities include designing and implementing data pipelines, architecting databases, and establishing efficient programming patterns for both technical and non-technical stakeholders. You'll be expected to handle complex data transformations and build systems that enable analysis at massive scale.
The position requires 5+ years of relevant experience and a strong foundation in quantitative disciplines. You'll be joining a team that values innovation, collaboration, and data-driven decision making. LinkedIn offers a culture focused on creating economic opportunity for every member of the global workforce, making this an excellent opportunity for those passionate about making a large-scale impact through data engineering.
This role is perfect for a self-starter who can drive projects independently while collaborating with high-performing data science professionals. You'll have the opportunity to work with cutting-edge technologies and contribute to engineering innovations that directly impact LinkedIn's vision and mission.
Responsibilities For Senior Software Engineer, Data Science
- 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
- Be a self-starter, Initiate and drive projects to completion with minimal guidance
- Contribute to engineering innovations that fuel LinkedIn's vision and mission
Requirements For Senior Software Engineer, Data Science
- Bachelor's Degree in a quantitative discipline: Computer science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc.
- 5+ 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)
Benefits For Senior Software Engineer, Data Science
- Hybrid work arrangement
- Career growth opportunities
- Work with cutting-edge technologies
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