[Hiring] Staff Data Engineer @Moxie

Role Description

We're looking for a Staff Data Engineer to own Moxie's data infrastructure end to end: the pipelines (Prefect, Airbyte, Snowflake Openflow), the warehouse (Snowflake), and the modeling layer (dbt, Omni) that every number Moxie publishes depends on. Data and intelligence are Moxie's moat, and they are also where the gap between what we can do today and our full potential is widest. This is a highly visible seat on a small, ambitious team, and you close that gap.

• Partner with Engineering on production schema changes (Postgres to Snowflake).
• Work with Finance to model accounting logic.
• Build and maintain pipelines.
• Keep business-critical data available for internal teams and the practices we serve.

Our Objectives for the Role:

• Make every number Moxie publishes defensible: within six months the data stack is owned, alerted, lineage-mapped, and documented end to end.
• Own the dbt and orchestration layers, maintaining and evolving Moxie's dbt models.
• Deliver one high-impact project in your first quarter.
• Turn ad-hoc work into owned process by establishing SOPs and KPIs.
• Deepen the moat: by month nine you're proactively optimizing the stack.

Qualifications

• 5-10 years of data engineering experience, with at least one stretch as an early data hire.
• Deep dbt and SQL modeling skill applied to business logic.
• Strong Python and software engineering fundamentals.
• A track record of leading end-to-end delivery.
• An ownership mindset about uptime, reliability, and cost.
• Fluency with AI tooling in daily work.
• Someone who sees a data team as a driver of business outcomes.

Requirements

• Experience with production pipelines on Prefect, Airflow, Dagster, or similar.
• Ability to gather requirements from non-technical partners (Finance, Product, Sales).
• Experience in scoping work, making architectural calls, and shipping projects.
• Knowledge of SLAs, runbooks, KPIs, and cost optimization.

Benefits

• You set the standard, not inherit one.
• A data architecture competitors can't match.
• A modern stack with room to grow.
• A highly visible IC role executing C-Suite level initiatives.