Experienced Remote Lead Data Engineer, Data Reliability – Big Data Platform Development and Management

Introduction to Disney Entertainment & ESPN Technology Imagine being part of a team that is redefining the way people experience entertainment and sports. At Disney Entertainment & ESPN Technology, we are on a mission to create magical viewing experiences for the world's most beloved stories while transforming Disney's media business for the future. Our team of innovators and technologists are designing and building the infrastructure that will power Disney's media, advertising, and distribution businesses for years to come. With a focus on innovation, reach, and scale, we are building products and platforms that delight millions of consumers every minute of every day. About the Data Reliability Engineering Team The Data Reliability Engineering team is responsible for maintaining and improving the reliability of Disney Entertainment's big data platform, which processes hundreds of terabytes of data and billions of events daily. As a Lead Data Engineer on this team, you will play a critical role in delivering outstanding services to our users, allowing Disney Entertainment to be more data-driven. You will work closely with our partner teams to monitor and drive improvements for reliability and observability of their critical data pipelines and deliverables. Job Summary We are seeking an experienced Lead Data Engineer to join our Data Reliability Engineering team. As a Lead Data Engineer, you will be responsible for designing and developing a platform to support incident observability and automation, building high-quality data models and products, and leading project work efforts internally and externally. You will collaborate with engineering teams to improve, maintain, performance tune, and respond to incidents on our big data pipeline infrastructure. If you are passionate about solving the toughest challenges and working at scale, using, supporting, and building distributed systems in a fast-paced collaborative team environment, we encourage you to apply. Key Responsibilities Assist in designing and developing a platform to support incident observability and automation Build high-quality data models and products that monitor and report on data pipeline health and data quality Lead project work efforts internally and externally, setting project deliverables, reviewing design documents, performing code reviews, and helping to mentor junior members of the team Collaborate with engineering teams to improve, maintain, performance tune, and respond to incidents on our big data pipeline infrastructure Own building out key components for observability and intelligent monitoring of data pipelines and infrastructure to achieve early and automated anomaly detection and alerting Present research and insights to all levels of the company, clearly and concisely Build solutions to continually improve our software release and change management process using industry best practices to help DSS maintain legal compliance Essential Qualifications 7+ years of experience working on mission-critical data pipelines and ETL systems 7+ years of hands-on experience with big data technology, systems, and tools such as AWS, Hadoop, Hive, and Snowflake Detailed problem-solving approach, coupled with a strong sense of ownership and drive A passionate bias to action and passion for delivering high-quality data solutions Expertise with common Data Engineering languages such as Python, Scala, Java, SQL, and a proven ability to learn new programming languages Experience with workflow orchestration tools such as Airflow Deep understanding of end-to-end pipeline design and implementation Attention to detail and quality with excellent problem-solving and interpersonal skills Preferred Qualifications Advanced degrees are a plus Strong data visualization skills to convey information and results clearly Ability to work independently and drive your own projects Exceptional interpersonal and communication skills Impactful presentation skills in front of a large and diverse audience Experience with DevOps tools such as Docker, Kubernetes, Jenkins, etc. Innate curiosity about consumer behavior and technology Experience with event messaging frameworks like Apache Kafka A fan of movies and television is a strong plus What We Offer At Disney Entertainment & ESPN Technology, we offer a competitive salary and a comprehensive benefits package, including medical, financial, and other benefits. We also provide opportunities for career growth and development, as well as a healthy work-life balance. Our team is passionate about innovation and collaboration, and we are committed to creating a work environment that is inclusive, diverse, and supportive. Compensation and Benefits The hiring range for this position is $152,200 to $204,100 per year, depending on the location and the candidate's experience and qualifications. We also offer a bonus and/or long-term incentive units as part of the compensation package, as well as a full range of medical, financial, and other benefits. Why Join Our Team? At Disney Entertainment & ESPN Technology, we are committed to creating a work environment that is collaborative, innovative, and supportive. We believe in fostering a culture of inclusivity, diversity, and respect, and we are dedicated to helping our employees grow and develop in their careers. If you are passionate about technology, innovation, and collaboration, and you are looking for a challenging and rewarding role, we encourage you to apply. How to Apply To apply for this role, please submit your application through our website. We welcome applications from candidates who are passionate about data engineering and who are looking for a challenging and rewarding role. Don't worry if you don't meet every single requirement - we value a great attitude and a willingness to learn above all. Conclusion Thank you for considering this exciting opportunity to join our team as a Lead Data Engineer, Data Reliability. We are looking for a talented and motivated individual who is passionate about data engineering and who is looking for a challenging and rewarding role. If you are interested in this opportunity, please don't hesitate to apply. We look forward to hearing from you! Apply for this job