Staff Data Engineer - Data Science
Description For Staff Data Engineer - Data Science
LinkedIn, the world's largest professional network with over 1 billion members globally, is seeking a Staff Data Engineer to join their Data Science team. This role represents an exceptional opportunity to work at the intersection of big data and business impact, helping to drive member engagement, business growth, and monetization efforts.
The position offers a unique blend of technical challenges and business impact, working with massive datasets while directly influencing LinkedIn's product decisions and member experience. As a Staff Data Engineer, you'll be part of a high-performing team that leverages data to empower business decisions and deliver insights, metrics, and tools that drive the company's success.
The role requires a strong technical foundation combined with business acumen. You'll work closely with cross-functional teams including product, marketing, sales, engineering, and operations to develop infrastructure and deliver tools that enable data-driven decision-making. The position demands expertise in data transformation, system design, and the ability to establish efficient programming patterns for both technical and non-technical partners.
This hybrid role offers the flexibility to work both from home and from LinkedIn's office, with specific days determined by business needs. The compensation package is competitive, ranging from $147,000 to $240,000 annually, plus additional benefits including health programs, equity, and performance bonuses.
Key responsibilities include building scalable data solutions, managing complex data systems, implementing data transformations, and ensuring best practices across the data ecosystem. The ideal candidate will have 4+ years of experience working with large datasets, strong programming skills, and a degree in a quantitative field.
LinkedIn offers a culture focused on employee well-being, professional growth, and innovation. The company's commitment to creating economic opportunity for every member of the global workforce makes this an exciting opportunity for someone passionate about using data to drive meaningful impact at scale.
Responsibilities For Staff Data 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
- 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 data platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms
- Contribute to engineering innovations that fuel LinkedIn's vision and mission
Requirements For Staff Data Engineer - Data Science
- Bachelor's Degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc
- 4+ 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)
Benefits For Staff Data Engineer - Data Science
- Generous health and wellness programs
- Time away for employees of all levels
- Annual performance bonus
- Stock options
- Fair and equitable compensation practices
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