Hybrid Data Engineer

Posted 3 weeks ago

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About the role

  • Architect, maintain and optimize scalable data pipelines to deliver critical insights for Skims using Fivetran, DBT, Airflow, Snowflake, BigQuery and various AWS services.
  • Assemble large and complex data sets that meet functional and non-functional business requirements.
  • Maintain and contribute to our data quality efforts using DBT tests and Monte Carlo.
  • Collaborate with data scientists, analysts and other stakeholders to understand data requirements and deliver tailored solutions.
  • Document technical designs, workflows and best practices to facilitate knowledge sharing across the data team and other engineering teams.
  • Support process failures when necessary and serve in an on-call rotation.

Requirements

  • 3+ years of experience in a data engineering role, preferably working in a direct-to-consumer business.
  • Excellent SQL skills and experience using Python to manipulate data and draw insights from large datasets required.
  • Experience creating dashboards and reporting using visualization tools like Looker (preferred), Tableau, or PowerBI required.
  • Demonstrated ability to independently plan and execute complex data engineering pipelines for large datasets.
  • Ability to translate business strategies into technical requirements.
  • Creative thinker, adept at understanding a wide breath of retail analytics use cases and identifying the data and analytics necessary to make them into a reality.
  • Direct experience with the data platform stack currently in use at SKIMS highly desirable: Fivetran, AWS Lambdas, dbt, Snowflake, BigQuery, Looker, Airflow.
  • Demonstrated success working in a fast-paced, swiftly changing startup environment.
  • BA/BS in Math, Computer Science, Analytics, Data Science, or another quantitative field desirable.

Benefits

  • 100% Company Paid Healthcare (medical, dental, vision)
  • Kind Body Fertility Benefits
  • 401(k) savings plan with up to 4% match
  • Unlimited PTO
  • Full Access to LinkedIn learning
  • Employee Discounts
  • Free weekly catered lunch at HQ – M/W/Th
  • Dog-Friendly office
  • Free Swag Giveaways
  • Annual Holiday Party
  • Annual Summer Party
  • Invitations to pop-ups and other company events
  • Complimentary daily office snacks and beverages

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

$125,000 - $143,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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