Senior Data Engineer at Campminder

Boulder, Colorado, United States -

Full Time

Start Date

Immediate

Expiry Date

30 Jun, 26

Salary

215000.0

Posted On

01 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Modeling, Cloud Environments, Automated Testing, Observability, Data Pipelines, Machine Learning, Infrastructure as Code, Schema Evolution, Data Governance, AI Features, Production Code, Failure Handling, Backfills, Durable Systems, Metadata

Industry

Software Development

Description

Ideal start timeline: ASAP Role status: Exempt Compensation: Our target hiring range is $175,000-$215,000 plus participation in our Annual Bonus Program with eligibility for $12,000 bonus. Actual compensation will be commensurate with experience and skills. Campminder’s Flexible Working Location: Our employees have the option to work 100% remotely within the United States or their choice of days at home and at our office in Boulder, Colorado. We host a variety of all-company hybrid meetings and social events. We require anybody working remotely to have a very reliable, high-speed internet connection. We know the best people can choose to work anywhere. Here’s a few reasons why 85+ of them choose Campminder: With 20+ years experience of serving the industry through its digital transformation, we’re stable, profitable, and have developed a loyal customer base (that continues to grow). We build software for summer camps, an industry that enables meaningful experiences for kids. We work on interesting, ambitious projects that create real value for our clients. We know our team members feel their work has an impact on the organization’s purpose. At the same time, we are genuinely committed to work/life balance. Our team members feel they have the flexibility to take time off when needed and feel supported in making use of flexible working arrangements. We invest in emerging technology and cutting-edge leadership and are proud to take an "AI-Enabled" approach in our solutions. We’ve been listed on Outside Magazine’s 50 Best Places to Work for 8 consecutive years for our values-led culture and employee experience. This role’s mission & overview: 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. As a Senior Data Engineer on our Data team, you will: 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. We think a successful candidate will bring: 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. Our Interview Process: 45 min - interview with People & Culture 60 min - interview with Hiring Manager Phase 3 60 min - coding interview with Engineering team members 60 min - architecture interview with Engineering team members 30 min - interview with CTO A few of the benefits we are proud to offer: 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. We have a team dedicated to enabling our AI capabilities for our team members and our customers! We encourage people of all backgrounds to apply: We're actively taking steps to make sure our culture is inclusive and that our processes and practices promote equity for all, including people of color, people from working-class backgrounds, women, and members of the LGBTQ+ community. We welcome and encourage applications from people with these identities or members of other historically marginalized groups. Research shows that women and people of color tend not to apply to jobs unless they believe they are 100% qualified and apply to fewer senior-level positions. With that in mind, we encourage you to apply if you're not sure whether you meet our qualifications. We'd love to have the opportunity to consider you! We encourage applications from parents, parents-to-be, and those responsible for the caretaking of others. We offer paid parental leave for birthing and non-birthing parents (including for adoption, surrogacy, and foster care placement) and paid loss leave to recover from miscarriage or stillbirth. The company's HSA and wellness allowance contributions may be used toward childcare, eldercare, adoption fees, and fertility treatments like IVF, among other expenses.

Responsibilities

The Senior Data Engineer will implement core components of the data platform, focusing on data modeling, pipelines, and storage layers. They will also ensure operational excellence through automated testing and robust failure handling.