Senior Data Engineer

New

Barranquilla, Colombia (remote)Full-TimeSenior

Salary not disclosed

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Job Details

5+ years of experience in data engineering within fast-paced, cloud-native environments
Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
Experience building and managing scalable ETL pipelines and data lake infrastructure
Familiarity with distributed systems, Spark, and data quality best practices
Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

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