[Hiring] Senior Data Engineer @Launch Potato

Role Description

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.

Qualifications

• 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.

Requirements

• 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

Competencies

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools.
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions.
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently.
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows.
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations.
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering.

Benefits

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Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.

We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.