Staff Data Engineer
July 11
🏡 Remote – Anywhere in California
Description
• Lead Data Engineering Efforts: Architect and lead the development of sophisticated data systems and pipelines that ensure the seamless flow of data across our platforms. • Scalability and Reliability: Ensure these data systems are scalable, reliable, and maintainable, supporting our growing user base and expanding product offerings. • Strategic Data Management: Develop and implement data management strategies that align with Daydream’s business objectives and support our AI and machine learning initiatives. • Cross-Functional Collaboration: Work closely with an interdisciplinary team of engineers, data scientists, product managers, and designers to create seamless data-driven features. • Innovation and Best Practices: Promote a culture of innovation and best practices in data engineering, mentoring team members and fostering an environment where diverse ideas are celebrated and operational excellence is achieved.
Requirements
• Seasoned Data Engineer: You have a deep understanding of data engineering principles and practices, with at least 8 years of relevant experience, including leadership roles. • Technical Expert: Proficient in modern data engineering technologies and architectures, with the ability to design and implement systems at scale. • Production Pipeline Owner: Experienced in supporting production data pipelines and managing outage protocols to ensure minimal downtime and robust recovery strategies. • Strategic Thinker: Capable of setting technical and business goals and leading projects to successful completion. • Collaborative Team Player: Excellent at working across teams and communicating complex ideas clearly and effectively. • Innovator: You thrive on challenges and are driven to apply state-of-the-art data engineering solutions to real-world problems.
Benefits
• Competitive salary, equity, and benefits package • A role in a pioneering, AI-centric company. • Collaborative, fun, and dynamic work environment. • Opportunities for career growth and learning.
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