Staff Data Engineer

🔥 0 minutes ago

🌐 United States, Canada, +4 more countries – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote 🇨🇱 Chile – Remote 🇧🇷 Brazil – Remote 🇨🇴 Colombia – Remote 🇩🇴 Dominican Republic – Remote

💵 $78k - $209k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Moxie

WebsiteLinkedInAll Job Openings

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 downstream metric effects • Take over Prefect and Snowflake Openflow orchestration and observability layers • Deliver a high-impact first-quarter project: accrual-basis accounting data model 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 • Add safeguards for LLM-generated content in data products

🎯 Requirements

• 5–10 years of data engineering experience • At least one stretch as an early data hire who took a system from basics to business-critical • Deep dbt and SQL modeling skill 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 with non-technical partners • Ownership mindset about uptime, reliability, SLAs, runbooks, KPIs, and cost optimization • Fluency with AI tooling such as Claude Code, Cursor, n8n, or similar • Ability to articulate where LLMs belong in a data stack and where they need guardrails

🏖️ Benefits

• Equity of 0.017%–0.023% for Tier 1 (US, Canada) • Modern data stack with AI tooling built into the workflow • Real input on the data roadmap and own career trajectory • Inclusive workplace and interview accommodations upon request