Data Engineer

Boom Entertainment is redefining the way fans engage with sports through innovative, high-quality sports products. Our flagship app, Boom Sports, delivers a fast, fun, and accessible Daily Fantasy Sports experience that’s open to players of all skill levels. To date, players on Boom Sports have won close to $100 million in prizes, and our user base continues to grow as more fans choose Boom as their go-to place to play.

Boom is a small team with high standards. We move fast, operate with urgency, and expect high ownership. You will be trusted to figure things out, spot issues early, and drive solutions without heavy process or close oversight. If you want responsibility and work that has real impact, Boom can be an excellent fit. If you prefer a slower pace, highly defined tasks, or being told exactly what to do each day, Boom may not be the right environment.

We are seeking a Data Engineer located in Panama. This is a full-time position, and compensation will be set in line with competitive local market rates for this role and level of experience.

Responsibilities:

• Design, build, and own scalable data pipelines for analytics and reporting.

• Integrate datasets from APIs, vendors, and event streams into the data warehouse.

• Maintain clear documentation for data models, pipelines, and system architecture.

• Write high-quality SQL and optimize database performance across large datasets.

• Troubleshoot data issues, including pipeline failures, schema changes, and data-quality gaps.

• Define and maintain core business metrics used across analytics, finance, and product.

• Analyze user behavior and funnels to support product decisions and growth initiatives.

• Handle ad-hoc data requests, analyses, and exploratory investigations.

Qualifications:

• 4+ years of experience in data engineering with large or complex datasets.

• Strong SQL skills and experience with MongoDB or other NoSQL databases.

• Hands-on experience with BigQuery and Google Cloud (GCS, Dataflow, Pub/Sub, etc. a plus).

• Proficiency in Python (or similar languages) for ETL, orchestration, and data processing.

• Experience with data modeling, warehouse design, and scalable data architecture.

• Experience leveraging AI coding tools to prototype, debug, write tests, and improve developer velocity while maintaining code quality.

• Comfortable in a startup or fast-paced environment.

• Familiarity with B2C or growth metrics (CAC, LTV, cohorts, churn, etc.).

• Interest in sports is a plus, but not required.

This role is not for you if:

• You prefer a steady state job where priorities rarely change.

• You want highly detailed instructions before starting work.

• You are uncomfortable owning deadlines and accuracy without close oversight.

• You do not enjoy improving processes, documentation, and structure where gaps exist.

If you are excited about this role and confident in your fit, you are welcome, but not required, to reach out to our Director of HR on LinkedIn or email [email protected] with a brief note explaining why Boom should hire you for this role. To be considered, candidates must have applied through our portal.