Senior Data Engineer

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Comfrt

WebsiteLinkedInAll Job Openings

51 - 200 employees

🛍️ eCommerce

👗 Fashion

eCommerce • Fashion

Comfrt is a direct-to-consumer apparel brand and Shopify-based e-commerce retailer focused on comfort-first clothing. The company sells hoodies (including slightly weighted hoodies marketed for anxiety relief), loungewear, blankets, travel gear, kids and pet items, and accessories, and operates an ambassador program and mobile app. Its messaging emphasizes cozy, functional, lifestyle apparel and DTC online sales.

📋 Description

• Design, construct, install, test, and maintain highly scalable data management systems and processing pipelines using cloud-native services (e.g., AWS, GCP, Azure). • Develop and optimize ETL/ELT processes to ingest, transform, and load data from various internal and external sources into our data warehouse/data lake. • Implement data governance, security, and quality controls across all data pipelines. • Ensure data architecture supports the needs of data scientists, analysts, and other business stakeholders. • Design and build Looker explores, views, and dashboards using LookML to serve self-service analytics across business domains including Revenue, CX, Operations, Logistics, and Finance. • Partner with stakeholders to translate business questions into Looker explores and dashboards that drive operational decisions. • Monitor, tune, and optimize data warehouse performance (e.g., Snowflake, BigQuery, Redshift). • Collaborate closely with data scientists, software engineers, and product managers to understand data requirements and deliver solutions. • Mentor and guide junior data engineers, fostering a culture of technical excellence and continuous learning.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related quantitative field. • 5+ years of professional experience in data engineering, software engineering, or a related role focused on data infrastructure. • Expert proficiency in SQL and at least one high-level programming language (e.g., Python, Scala, Java). • Deep expertise with major cloud platforms (AWS, GCP, or Azure), specifically their data and storage services (e.g., S3, Google Cloud Storage, Azure Data Lake Storage). • Solid experience with modern data warehousing solutions (e.g., Snowflake, Google BigQuery, Amazon Redshift). • Experience with workflow orchestration tools (e.g., Apache Airflow, Dagster). • Familiarity with distributed data processing frameworks (e.g., Apache Spark, Dask). • Experience with version control systems (e.g., Git). • Experience with AI tools(Claude, Vertex AI, Gemini). • Hands-on experience with Looker — building and maintaining LookML models, explores, views, dimensions, measures, and derived tables in a production environment. • Proficiency in LookML — including explores, joined views, PDTs (persistent derived tables), liquid templating, and Looker permissions/access controls. • Strong understanding of Looker best practices: explore design, field naming conventions, caching strategies, and performance optimization.

🏖️ Benefits

• Health insurance • 401(k) matching • Paid time off • Discounts on all Comfrt products