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.

Job Summary:
As a Data Engineer you will be a key part of 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 technology leadership, data engineers, data analysts, data scientists, and 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:

3+ years experience in a data engineering / BI role supporting Marketing or Sales organizations (ecommerce, digital, tech is a plus)
2+ years experience with Python, SQL, UNIX/Linux shell scripting
Experience working with cloud based data warehouse (Amazon Redshift, Big Query)
Experience with cloud (AWS) data pipelines
Experience working with Agile/Kanban methodologies
Understanding of structured, semi-structured and unstructured file formats and the ability to parse them with Python (preferred) or other programming language
Strong attention to detail
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

Preferred:

Experience with DBT
Experience with Confluence & Jira
Experience with Big Data platforms and architecture (S3/Data Lake, Hive, Spark, AWS Athena)
Experience with ETL scheduling technologies with dependency checking, such as Airflow
Experience with Kafka, AWS Kinesis, Spark-Streaming
Experience with Machine Learning (ML) and productionalizing of ML models

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.

Job Type: Full-time

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