Lead Data Engineer

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

Qualifications

• 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