Data Engineering Manager

Remote

Applications have closed

Ruggable

The original washable rug is still the best. Ruggable rugs are machine washable and stain resistant. Great for homes with kids and pets. Free shipping!

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About Ruggable:

Ruggable is a Los Angeles-based, venture-backed, rapidly growing e-commerce startup that is disrupting the $7B rug industry and revolutionizing the market for residential rugs. Our patented 2-Piece Rug System allows you to remove the top layer of your rug and wash it in your home washing machine, offering an affordable, stylish and convenient solution for young families, pet owners, and busy individuals. We're a small, entrepreneurial team with big ambitions. We have a strong brand, established traction, and amazing advisors fueling our steady growth. This is an opportunity to get in at the ground floor and solve for complex challenges, while charting your own career.

The Marketing Team:

The Ruggable Marketing Team is collaborative and dynamic with clear growth targets in mind. Working closely with the Design, Operations, and Executive teams, the team aims to exceed revenue targets, elevate our brand status and broaden our customer appeal. We learn fast to adapt to the ever-changing e-commerce landscape.

Job Summary:

As a Manager of Data Engineering you will lead a team whose goal is to build and maintain foundational data infrastructure essential to driving Ruggable’s revenue growth and accelerating user acquisition. You will work closely with marketing leadership, data analysts, data scientists, and Ops Tech engineering teams to build best-in-class data pipelines and processes that stitch together complex sets of data stores and drive actionable insights. 

What You’ll Do:

  • Bridge gap between business requirements and ETL logic by troubleshooting data discrepancies and implementing scalable solutions
  • Design, build and maintain critical data pipelines to ensure highly accurate and reliable business reporting
  • Successful track record of monitoring daily execution, diagnosing and logging issues, and fixing business critical pipelines to ensure SLAs are met with internal stakeholders
  • Make data model and ETL code improvements to automate pipeline efficiency and data quality
  • Own data import/export pipelines and incorporate into existing workflows to enable reporting and optimization efforts
  • Contribute to marketing data insights strategy and development

What You’ll Need To Have:

Required:

  • 5-7 years experience in a data engineering / BI role supporting organizations (ecommerce, digital, tech is a plus)
  • 2-3 years of experience managing & developing teams (Jira/Confluence mandatory)
  • Experience with Python, SQL, & version control (git) 
  • Experience with Data technologies such as ETL scheduling technologies with dependency checking, such as Airflow, as well as star schema design and dimensional data modeling, using tools like DBT, RDS, S3 or using streaming tools like Kinesis.
  • Strong business intuition and ability to understand complex business systems, data architecture, and software design patterns
  • Excellent communication skills, particularly when explaining technical matters to less technical co-workers 

At Ruggable, we offer competitive compensation and benefits packages. Ruggable is an Equal Employment Opportunity employer. We proudly recruit and hire a diverse workforce and are committed to creating an inclusive environment for all employees.

If you are based in California, we encourage you to read this important information for California residents linked here.

To all recruitment agencies: Ruggable does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Ruggable employees or any other company destination. Ruggable is not responsible for any fees related to unsolicited resumes.

Tags: Airflow Data pipelines E-commerce Engineering ETL Git Jira Kinesis Pipelines Python SQL Streaming

Perks/benefits: Career development Competitive pay Startup environment

Region: Remote/Anywhere
Job stats:  5  1  0

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