Data Engineer
Boom Entertainment
full-time
Posted on:
Location Type: Remote
Location: Panama
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About the role
- 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
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLMongoDBNoSQLBigQueryGoogle CloudDataflowPub/SubPythonETLdata modeling
Soft skills
troubleshootingdocumentationanalytical thinkingproblem-solvingadaptability