Staff Data Engineer

🕒 October 14

💵 $78k - $209k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

Where this job comes from

Posted on Moxie's careers page, not through a job board

First seen by Remote Rocketship October 14

Still open on Moxie's site. Checked 2 hours ago.

Logo of Moxie

Moxie

1 - 10 employees

🏥 Healthcare

💼 Consulting

📣 Marketing

Healthcare • Consulting • Marketing

Moxie is a comprehensive platform dedicated to helping medspa businesses launch, run, and grow successfully. They offer tailored services such as business coaching, compliance expertise, and advanced medspa management software, to ensure efficient and compliant operations. Moxie also provides strategies for medspa marketing and offers opportunities for substantial savings on products and supplies. Their all-in-one software suite includes features for online scheduling, payment processing, inventory management, and automated compliance risk notifications. With a focus on guiding medspa entrepreneurs towards sustainable growth and enhanced profitability, Moxie is a key partner in the medspa industry.

📋 Description

• Own Moxie's data infrastructure end to end, including pipelines, warehouse, and modeling layer • Partner with Engineering on production schema changes from Postgres to Snowflake • Work with Finance to model accounting logic • Build and maintain data pipelines • Keep business-critical data available for internal teams and practices served by Moxie • Own and evolve dbt models, including financial reporting logic and incentive calculations • Take over Prefect and Snowflake Openflow orchestration and observability layers • Deliver an initial high-impact project involving accrual-basis accounting or historical EMR data modeling • Establish SOPs and KPIs for security reviews, schema changes, failure triage, infrastructure performance, and cost • Optimize the stack and build pipelines and models supporting predictive and prescriptive Practice Intelligence • Implement safeguards for LLM-generated content in data products

🎯 Requirements

• 5–10 years of data engineering experience • Experience as an early data hire taking a system from basics to business-critical • Deep dbt and SQL modeling skills applied to business logic • Experience modeling cash vs. accrual accounting, incentive logic, and revenue definitions • Strong Python and software engineering fundamentals • Production pipeline experience with Prefect, Airflow, Dagster, or similar • Experience handling schema evolution from an operational database into a warehouse • Experience setting up alerting and observability • Track record of leading end-to-end delivery and gathering requirements from non-technical partners • Ownership of uptime, reliability, SLAs, runbooks, KPIs, and cost optimization • Fluency with AI tooling such as Claude Code, Cursor, n8n, or similar • Point of view on appropriate LLM use and guardrails in a data stack

🏖️ Benefits

• Equity of 0.017%–0.023% for Tier 1 (US, Canada) • Remote work • AI tooling built into the workflow • Career trajectory and input into the data roadmap • Accommodations available for the interview process

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