Lead Data Engineer
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Requirements
• 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 • EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
Responsibilities
• 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. • OUTCOMES • 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 • COMPETENCIES • Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools • Data Engineering Mastery: • Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions • Cross-Functional Collaboration: • Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently • Proactive Ownership: • Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows • Quality-Driven Execution: • Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations • Strategic Thinking: • Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering • Growth Mindset:
Benefits
• At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers. • BASE SALARY: $150,000 to $190,000 per year • Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments. • Want to accelerate your career? Apply now! • 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.