Role overview
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.
Key Responsibilities
* 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.
Skills, Knowledge & Expertise
* 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.
Job Benefits
**Benefits And Culture**
* 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
**Perks (HQ Location)**
* 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
Compensation: $160,000 - $185,000 / year
What you'll work on
* 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.
Skills, Knowledge & Expertise
* 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.
Job Benefits
**Benefits And Culture**
* 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
**Perks (HQ Location)**
* 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
Compensation: $160,000 - $185,000 / year