Data Engineer II

About Ruggable:

Ruggable is a leading direct-to-consumer e-commerce brand based in Los Angeles, California with an extraordinary track record of high, profitable growth. We pride ourselves on having an extremely loyal customer base and a talented team made up of genuinely caring people who take action and deliver results. We are venture-backed and own a patented washable rug design that's disrupting the home décor industry. Our mission is to empower our customers to live vibrantly with beautiful products that don't compromise on function. If you're passionate about consumer products, e-commerce, and high-growth start-ups, keep reading!

Job Summary:

As a Data Engineer at Ruggable, you will own, contribute, and extend the business’s data pipelines by extracting, storing, processing, and transforming large data sets. 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:

Build processes supporting data transformation, data structures, metadata, dependency, and workload management. You will be responsible for developing and optimizing big data pipelines, architectures, and data sets. In-depth knowledge of Modeling and Design of DB schemas for read-and-write performance. Promoting Data Engineering best practices within the team and mentorship opportunities. Develop highly scalable data pipelines to load data from various source systems, and use Apache Airflow to orchestrate, schedule and monitor the workflows.

What You’ll Need to Have:

Required:

• Minimum of 3+ years relevant experience as a Data Engineer
• Proficiency in scripting languages like Python or Bash
• Familiarity with version control systems such as Git
• Working knowledge of API integration or Stream-based data extraction and structured, semi-structured and unstructured file formats
• Design, develop and own robust, scalable data processing and data integration pipelines using Python, Meltano, Glue, and Spark to ingest data from a variety of external data sources to a data lake
• Experience with workflow and orchestration management tools like Airflow.
• Deep understanding of SQL with relational data stores and column-oriented database systems such as Redshift, Postgres, and CockroachDB
• Ability to interact cross-functionally with non-technical departments
• Ability to work individually or as part of a team
• Support and expand standards, guidelines, tooling, and best practices for data engineering

Preferred:

• Experience with AWS or relevant cloud tools
• Familiarity with data warehousing concepts and technologies
• Automated build and continuous integration tools Terraform, Jenkins and Github Actions 
• Knowledge of BI Tools like Tableau, Looker, etc 
• Infrastructure Logging, Alerting, and Monitoring experience with platforms like DataDog, Cloudwatch

Compensation:

• $130,000 - $150,000 per year base salary
• An annual bonus percentage that varies based on level of role
• Employer matching (up to 3% of base salary) for company sponsored 401K plan

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.