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Data Engineer

Roles & Responsibilities

  • 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.

Requirements:

  • Design, build, and own scalable data pipelines for analytics and reporting.
  • Integrate datasets from APIs, vendors, and event streams into the data warehouse.
  • Write high-quality SQL and optimize database performance across large datasets.
  • Troubleshoot data issues, including pipeline failures, schema changes, and data-quality gaps.

Job description

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. With millions of dollars in prizes awarded and a rapidly growing user base, Boom Sports is quickly becoming a go-to destination for sports fans.

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.
  • 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.

What Boom promises you 

We have a culture that values trust over micromanagement. Each role has a high level of autonomy. We move quickly, experiment often, and learn in real time. 

We proudly offer a transparent, fun, and engaging environment that encourages creativity, curiosity, and growth, while giving you space to do your best work.

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