Senior Data Engineer

Job Title: Senior Data Engineer

Type: Full-time; Remote

Schedule: US Time zone

Industry: Fashion/Lifestyle

Job Overview

We are looking for a Senior Data Engineer to help build and scale our modern data platform. This hands-on role involves developing robust data pipelines, modeling data for analytics, and working closely with business and engineering teams. You will work with industry-leading tools such as Snowflake, DBT, FiveTran, and AWS services to create efficient and scalable data solutions.

Responsibilities

• Design, build, and maintain scalable ELT/ETL pipelines (FiveTran, DBT, Python,Snowpipe) in Snowflake.
• Integrate workflows using AWS services (S3, Lambda, Glue, Athena, CloudWatch).
• Administer and optimize Snowflake (user roles, warehouse sizing, access, performance).
• Develop and maintain dimensional/normalized data models in Snowflake.
• Implement data transformation logic with DBT and SQL for accuracy and maintainability.
• Transform raw data into reliable datasets for analytics and operations.
• Collaborate with teams to understand data requirements and deliver solutions.
• Ensure high data quality, consistency, and security.
• Monitor and troubleshoot pipelines, implementing logging/alerting.
• Participate in code reviews, documentation, and promote data engineering best practices.

Preferred Qualifications

• Exposure to Shopify, NetSuite, or Segment.
• Experience with Python and Looker or other BI Visualization tools is preferred
• Experience in e-commerce, SaaS, or financial analytics environments.
• Familiarity with orchestration tools such as Airflow, Dagster, or similar frameworks.

• B.S./M.S. in Computer Science or related field.
• 5-7 years in software development, 5+ in data/analytics engineering.
• Expertise in Snowflake, DBT, FiveTran, and SQL in production.
• Experience designing/managing AWS data pipelines.
• Strong problem-solving, communication, and cross-functional skills.
• Knowledge of data governance, performance tuning, and security.