Lead Data Engineer

Los Angeles, California
Skims are Looking for a Lead Data Engineer
27 Jan 2022
21 Feb 2022
Contract Type
Full Time

Data Engineer

SKIMS is a solutions-oriented brand creating the future of underwear, shapewear and loungewear.


We’re disrupting the industry with our game-changing product and culturally driven creative, and are looking for a Data Engineer to join us in building the next generation of intimates.


You should have a passion for developing new ideas, challenging assumptions and be equal parts creative and analytical.



The Role

We are looking for a Data Engineer to be a founding member of our Data and Analytics team. In this role you will be responsible for building the foundational data analytics, reporting, and data pipelines platforms that power data-driven decision making across the entire company. This role is also critical in building data products and dashboards to empower data-driven decision making across the organization.


Primary Responsibilities


  • Create and maintain optimal data and analytics architecture, including visualization tools like Domo
  • Assemble large and complex data sets that meet functional and non-functional business requirements
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Support the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies
  • Build tools for analytics team members that enable them to build and optimize reports and dashboards for the entire company




  • 3-5 years experience in a data engineering role, preferably working in a direct-to-consumer business
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and statistical programming languages (Python, R, etc.)
  • Experience building and optimizing cloud based big data data pipelines, architectures and data sets leveraging a combination of SaaS and custom build solutions
  • Successful history of manipulating, processing and extracting value from large disconnected datasets
  • Strong project management and organizational skills
  • Direct experience supporting data visualization tools like Looker (highly desired), Tableau, or PowerBI
  • Demonstrated success working in a fast-paced, swiftly-changing startup environment
  • BA/BS in Computer Science, Statistics, Informatics, Information Systems or other quantitative field highly desirable

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