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Loop is looking to solve merchant problems and fulfill merchant needs by empowering them with transformative data products that drive success beyond returns. The Data team aims to enable smarter decision-making across the board by creating insights and strengthening internal data-driven processes.

Requirements

• 4 years of hands-on experience building and maintaining data pipelines and data sets in a cloud environment (Snowflake, GBQ, Redshift, etc.).
• hands-on experience with Snowflake, specifically!
• 2+ years of Python experience, creating reliable workflows and data processing scripts.
• Strong SQL skills and experience with data modeling.
• Experience with dbt or similar transformation tools.
• Familiarity with distributed systems and ETL/ELT processes.
• Experience with data observability, lineage, or governance tools.
• Exposure to BI tools and supporting analytics teams.
• Familiarity with Fivetran, Kafka, or modern data integration platforms.

Responsibilities

• Maintain and optimize existing data pipelines and warehouse solutions for performance, reliability, and cost efficiency.
• Support internal analytics and ML teams with data modeling, schema updates, and ad hoc data needs.
• Contribute to dbt projects and assist in ensuring data quality, observability, and accessibility.
• Write clean, tested, and documented code, and participate in code reviews.
• Collaborate with senior data engineers to understand and contribute to new ingestion sources, ML pipelines, and other forward-looking initiatives.
• Ensure internal stakeholders can access and use data effectively, enabling faster business insights and decision-making.

Other

• We work from our HQ in Columbus, OH, or one of our Hub or Secluded locations, and are distributed throughout the United States, select Canadian provinces, and the United Kingdom. For this position, we’re looking for someone to join us in a location where we already have an established Hub or HQ.
• Progress over perfection and focus on delivering value.
• Strong, open, and continuous collaboration with peers and stakeholders.
• Autonomy and accountability.
• Drive to solve problems.