Senior Data Engineer

About BoomPop, Inc.

Who We Are

At BoomPop, we believe in the importance of bringing people together. Since 2020, we've been transforming the way people gather, making it easier, more engaging, and truly unforgettable. We combine a top-notch event planning team with cutting-edge AI technology to make planning events as easy as shopping online.

We’ve organized critical events for over 6,000 clients, including Google, Nike, and Accenture, bringing together more than 300,000 attendees. And we're just getting started.

We have raised over $35M from top-tier investors, including Atomic, ACME Capital, and Alex Rodriguez (A-Rod).

Why Join Us?

The world of work is changing, and BoomPop is leading the charge. With remote work on the rise, companies like Airbnb, Salesforce, and Shopify are embracing a new mantra: “Offsites are the new office.”

The group travel and events industry is booming, and we're at the heart of it. Businesses are shifting their budgets from traditional office spaces to in-person experiences. Group travel, which was already a massive part of the $900 billion corporate travel industry, is growing even faster now.

Join us and be part of a world-class team that's redefining the future of travel and events. You'll find endless opportunities for growth, the chance to work with top-tier clients, and the thrill of making a real impact on the world.

Mission: Essence of the Job

Join us in cultivating a data-first culture at BoomPop. As an early data hire, you’ll play a key role in building our systems from scratch in a fast-moving, startup setting. This is a highly generalist role — perfect for someone excited to engage across the entire data pipeline, from modeling and infrastructure to analytics and stakeholder collaboration.

You’ll work closely with our Lead Analytics Engineer and Product Analyst to design the foundational data infrastructure that will power insights across the organization. Acting as connective tissue between engineering and analytics, you’ll help translate business questions into data systems that grow with us. Your contributions will be vital in shaping a more informed and impactful data strategy.

Top 3 Priorities

1. End-to-end data engineering and system ownership
2. Demonstrate leadership in code quality and best practices
3. Be innovative and collaborate cross-functionally

Within 30 days:

• Get fully onboarded into our analytics tools, including Snowflake, Fivetran, dbt, and  GitHub
• Understand current ELT pipeline flow and where schema changes occur
• Build relationships with key engineering/product partners
• Review existing data sources and identify the highest-priority gaps in data connectivity
• Start contributing to dbt improvements and documentation updates

Within 60 days:

• Take ownership of  active data pipelines and manage schema changes
• Partner with engineering to implement CI checks and improve staging tables
• Plan and begin building a new custom connector for a business-critical data source
• Identify areas for cost and performance optimization in Snowflake
• Participate in design reviews and propose improvements to data modeling

Within 90 days:

• Fully own at least one key data system or connector end-to-end
• Deliver a golden data set that supports business or AI use cases
• Launch monitoring enhancements for Snowflake using Datadog
• Share code review feedback and promote best practices across the team
• Document scalable connector development guidelines for future hires

Competencies

• Strategy. Understands how their work connects to larger business goals and thinks a few steps ahead to drive impact.
• Innovation