Data Engineer - Remote

Overview

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.

In Short

• 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.

Requirements

• 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.

Benefits

• Culture that values trust over micromanagement.
• High level of autonomy in each role.
• Opportunity to move quickly, experiment often, and learn in real time.
• Transparent, fun, and engaging environment.
• Encouragement of creativity, curiosity, and growth.
• Space to do your best work.