Staff Software Engineer, Data Science

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

Description For Staff Software Engineer, Data Science

LinkedIn, the world's largest professional network, is seeking a Staff Software Engineer for their Data Science team. This role is part of the technical foundation team, an engineering group embedded within data science teams responsible for developing robust data foundations and tooling. The position offers a hybrid work arrangement, allowing flexibility between remote work and office presence.

The role involves working closely with data science partners and cross-functional stakeholders, including AI, Product Managers, and Engineering teams. You'll be tackling diverse projects ranging from building data foundations to developing generalized tools and streamlining complex analyses. This unique position offers the opportunity to work end-to-end on new initiatives and build data solutions from the ground up.

As a Staff Software Engineer, you'll be working with large-scale data systems, utilizing technologies like Python, Java, Scala, and SQL. The role requires expertise in data pipeline systems, Spark, and distributed systems. You'll be responsible for establishing design patterns, working with cross-functional partners, and contributing to engineering innovations that advance LinkedIn's mission of creating economic opportunity for every member of the global workforce.

The position offers competitive compensation ranging from $147,000 to $240,000 annually, plus additional benefits including health coverage, 401(k), stock options, and performance bonuses. LinkedIn's culture strongly emphasizes work-life balance, professional growth, and creating an inclusive environment where everyone feels a sense of belonging.

This is an excellent opportunity for experienced engineers who want to make a significant impact on a platform serving over 1 billion members globally. The role combines technical leadership, data engineering, and the chance to work on challenging problems at scale while contributing to LinkedIn's mission of connecting the world's professionals.

Last updated a day ago

Responsibilities For Staff Software Engineer, Data Science

  • Engage with internal data platform teams to prototype and validate tools developed in-house
  • 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
  • Build applications and platforms that enable producers and consumers of data insights

Requirements For Staff Software Engineer, Data Science

Python
Java
Scala
  • Bachelor's Degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc.
  • 5+ years of relevant industry experience
  • Experience with SQL/Relational databases
  • Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript, prefer Python, Java and Scala)
  • Experience working with data pipeline authoring system, such as Airflow, Flyte, DBT
  • Good knowledge of using Spark and related development tools
  • Familiarity with distributed systems, source control, testing frameworks

Benefits For Staff Software Engineer, Data Science

Medical Insurance
Vision Insurance
Dental Insurance
401k
Parental Leave
  • Health and wellness programs
  • Generous time away policies
  • Annual performance bonus
  • Stock options
  • Comprehensive benefits package

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