Staff Software Engineer, Data Science

LinkedIn is the world's largest professional network, built to help members achieve more in their careers.
$147,000 - $240,000
Data
Staff Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Staff Software Engineer, Data Science

LinkedIn, the world's largest professional network with over 1 billion members globally, is seeking a Staff Software Engineer for their Data Science team. This role sits within the technical foundation team, an engineering group embedded into data science teams, focusing on developing robust data foundations and tooling.

The position offers a unique opportunity to work on end-to-end initiatives and build data solutions from the ground up. As a Staff Software Engineer, you'll be instrumental in developing tools and frameworks that empower data science teams and cross-functional partners. The role combines technical expertise in data engineering with the ability to influence and establish best practices across the organization.

The ideal candidate will bring 5+ years of industry experience, with strong foundations in programming languages like Python, Java, or Scala, and expertise in SQL and data pipeline systems. You'll work in a hybrid environment, allowing flexibility to work from home while maintaining important in-person collaboration with your team.

What makes this role particularly exciting is the scale and impact of your work - you'll be building solutions that affect LinkedIn's billion-plus member base and contribute to the company's mission of creating economic opportunity for every member of the global workforce. The position offers competitive compensation ($147,000-$240,000/year) along with comprehensive benefits including health coverage, 401(k), stock options, and various wellness programs.

The role requires a unique blend of technical expertise and collaborative skills, as you'll work closely with data scientists, AI teams, product managers, and engineers. You'll be responsible for establishing design patterns that serve both technical and non-technical partners, while ensuring best practices in our data ecosystem are shared across teams.

LinkedIn offers a culture that strongly believes in work-life balance and the well-being of employees and their families. The company is committed to diversity and inclusion, providing an environment where everyone feels a true sense of belonging. This role presents an opportunity to work with cutting-edge technologies while making a meaningful impact on professional networking worldwide.

Last updated 5 days ago

Responsibilities For Staff Software Engineer, Data Science

  • Engage with internal data platform teams to prototype and validate tools for large datasets
  • Work with cross-functional partners to identify business opportunities and build scalable data solutions
  • Establish efficient design and programming patterns for engineers and non-technical partners
  • Contribute to engineering innovations that fuel LinkedIn's vision and mission

Requirements For Staff Software Engineer, Data Science

Python
Java
Scala
  • Bachelor's Degree in a quantitative discipline (Computer Science, Statistics, Operations Research, etc.)
  • 5+ years of relevant industry experience
  • Experience with SQL/Relational databases
  • Background in at least one programming language (R, Python, Java, Scala, PHP, JavaScript)
  • Experience working with data pipeline authoring system (Airflow, Flyte, DBT)
  • Good knowledge of using Spark and related development tools
  • Familiarity with distributed systems and testing frameworks
  • Excellent communication skills
  • Experience with data products and basic statistics

Benefits For Staff Software Engineer, Data Science

Medical Insurance
Vision Insurance
Dental Insurance
401k
Parental Leave
Commuter Benefits
  • Health and wellness programs
  • Generous time away policies
  • Annual performance bonus
  • Stock options
  • Comprehensive healthcare coverage
  • 401(k) plan
  • Parental leave
  • Commuter benefits

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