Senior Data Engineer responsible for building and optimizing data pipelines for banking analytics initiatives. Collaborating with data teams to ensure data quality and readiness for enterprise use.
About the role
- Data Engineer building foundational data analytics platforms at Skims. Collaborating with stakeholders to deliver insights and optimize scalable data pipelines.
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.
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
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