Senior Data Engineer
Job Description
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 Senior Data Engineer at Ruggable, you will own, contribute, and extend the business’s data pipelines by extracting, storing, processing, and transforming large data sets.Â
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, DBT, Kafka, Airflow, and Spark to ingest data from a variety of external data sources to a data lake
- 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
- Local to Los Angeles, Chicago, or Charlotte
Preferred:
- Experience with AWS or relevant cloud tools
- Familiarity with data warehousing concepts and technologies
- Automated build and continuous integration tools Terraform and JenkinsÂ
- Knowledge of BI Tools like Tableau, Looker, etcÂ
- Infrastructure Logging, Alerting, and Monitoring experience with platforms like DataDog, Cloudwatch
Compensation:
- $145,000 - $160,000Â 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.
Date Posted
08/31/2023
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