Data Engineer

Data Engineer

The Data team at Loop is on a mission to empower merchants with transformative data products that drive success beyond returns. By building tools that merchants love and fostering a robust data culture, the team enables smarter decision‑making across the board, shaping Loop’s future and unlocking new opportunities for our merchants and teams alike.

At Loop, we’re intentional about the way we work so that we can do our best work. We call this our Blended Working Environment. 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. This position requires you to be based in a Hub or HQ location.

As a Data Engineer at Loop, you’ll have the chance to significantly impact our ability to solve merchant problems and fulfill merchant needs. You’ll own all aspects of data availability, quality, and ease of use of our data platforms, delivering value to the business with a blend of creativity and structure.

Snowflake, Fivetran, dbt, Good Data, Secoda

• 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 on new ingestion sources, ML pipelines, and forward‑looking initiatives.
• Ensure internal stakeholders can access and use data effectively.

• 4 years of hands‑on experience building and maintaining data pipelines and data sets in a cloud environment (Snowflake, GBQ, Redshift, etc.). Specifically, top candidates will have hands‑on experience with Snowflake.
• 2+ years of Python experience, creating reliable workflows and data processing scripts.
• Strong SQL skills and data modeling experience.
• Experience with dbt or similar transformation tools; familiarity with distributed systems and ETL/ELT processes.
• Nice to have: data observability, lineage, or governance tools.
• Nice to have: BI tools and supporting analytics teams.
• Nice to have: cross‑functional data projects; familiarity with Fivetran, Kafka, or modern data integration platforms.

• Progress over perfection and focus on delivering value.
• Strong, open, and continuous collaboration with peers and stakeholders.
• Autonomy and accountability.
• Drive to solve problems.
• Engagement and participation in our Agile practices.

$118,400 – $177,600 a year. The posted salary range is the base salary for this opportunity and may be adjusted in the future. The actual annual salary will be based on experience, location, company needs, market demands, and your compensation goals. Benefits include medical, dental, vision insurance, flexible PTO, company holidays, sick & safe leave, parental leave, 401(k), monthly wellness benefit, home workstation benefit, phone/internet benefit, and equity.

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• python
• growth
• code
• cloud
• senior
• operations
• analytics
• engineer