[Hiring] Senior Data Engineer @Campminder

Role Description

We are looking for a Senior Data Engineer to join our Data team to execute the implementation of a new data architecture. This person will play a primary role in building the systems that power our core product and AI features. They will focus on turning architectural designs into resilient, production-ready infrastructure while ensuring high standards for data modeling and operational durability.

• Implement the core components of our data platform, including data modeling, pipelines, and retrieval-ready storage layers.
• Build operationally excellent systems, incorporating automated testing, deep observability, and robust failure handling.
• Model complex business domains by defining clear entities, event histories, and reusable datasets that reflect real-world logic.
• Develop the data foundations for AI features, focusing on structured metadata, governance, and high-fidelity source data.
• Partner with the Data team to translate technical strategies into executable plans and production code.
• Maintain the long-term health of our platform through idempotent backfill patterns and managed schema evolution.

Qualifications

• Experience building and shipping production-grade data systems in cloud environments.
• Passion for doing rapid experimentation to build customer-facing features on robust data systems.
• Deep expertise in data modeling for complex domains, prioritizing accuracy and reusability.
• Proven ability to build durable systems that handle backfills, schema changes, and distributed failures gracefully.
• Pragmatic experience preparing data for machine learning workflows, including retrieval-optimized structures.
• Strong commitment to engineering fundamentals like testing, documentation, and infrastructure-as-code.
• A track record of taking technical designs and owning the execution through to deployment.
• Deep experience with cloud data platforms and the technical judgment to choose the right storage or processing pattern for the task.

Requirements

• 45 min - interview with People & Culture
• 60 min - interview with Hiring Manager
• 60 min - coding interview with Engineering team members
• 60 min - architecture interview with Engineering team members
• 30 min - interview with CTO

Benefits

• Robust medical, dental, and vision coverage options with generous employer contributions, plus a $500 employer HSA contribution for HSA-compatible plans.
• Ability to choose where you work - remotely, in the office, or a mix!
• A variety of resources to support mental health and emotional well-being.
• 12 weeks of 100% paid parental leave for all new parents, including via adoption, surrogacy, and foster care.
• 401(k) with 4% company matching.
• Trust-Based (flexible) PTO (and yes, we use it!).
• $900/year wellness allowance.
• Company-paid subscriptions, training, and support for using AI professionally and personally.