Description At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. ABOUT THIS ROLE Data drives innovation and this senior role is behind the wheel of our Data Engineering group. This foundational role designs and builds the paths to fine-tune Audible’s operations and outpace our competitors. Our Data Engineering group owns the datasets and platforms that not only enable our systems but also our people, to uncover new insights. You’ll put your experience to work in a start-up culture – all while accessing the tech-forward tools, training, and infrastructure of our parent company, Amazon. ABOUT THE TEAM Audible Tech is dedicated to building services, tools and infrastructure to build faster product features and promoting a better customer experience. This group is a part of a world class team of developers that will be defining, designing and refining the tech that keeps us one step ahead of listeners. This is a fast growing org which is also breaking ground on numerous other platforms that has potential to shape Audible’s technical strategy for the next decade. ABOUT YOU You have a background in developing large scale data systems and an interest in building foundational, reusable, highly-leveraged services and capabilities which other teams or users can depend on. You feel pride in every step forward, however big, or small; to you, each challenge represents a well-executed venture to support our listeners. If you’re looking to build on your skills and grow into a leader, this is your next step. We look for people who take responsibility, set their standards high and see every failure as an opportunity to learn. You’re looking for an environment where you can thrive. With opportunities to challenge yourself and a talented team by your side, you’ll find what you’re looking for at Audible. As a Senior Data Engineer, you will... - Lead the development of systems and datasets, applying best practices and diverse knowledge in our inclusive data engineering ecosystem - Peer review and mentor junior team members, fostering their growth and development - Analyze source systems, define data sources and transformation requirements, and design appropriate data models while documenting specifications - Utilize broad technology expertise to build systems aligned with business needs in the Data Engineering ecosystem - Implement systems and datasets using software engineering best practices, data management fundamentals, and operational excellence principles - Demonstrate dedication to quality and productivity through efficient development techniques and adherence to standards - Communicate effectively with teams and stakeholders, escalating and resolving technical and managerial issues - Conduct peer reviews and actively mentor team members, enhancing their skills, system knowledge, and productivity ABOUT AUDIBLE Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home. Basic Qualifications - Bachelor’s degree in Computer Science or related field, or equivalent experience - 2+ years of non-internship professional software development experience - Programming experience with one or more modern language (e.g., Java, C++, C#, Python), including object-oriented design - 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current system - Experience writing clear, maintainable and extensible code Preferred Qualifications - Strong problem-solving skills with the ability to independently navigate highly complex and ambiguous situations - Prior experience in the data domain - data instrumentation, knowledge of core data and database design, processing and modeling large, complex data sets for Analytics, Data Science and Applications - Expertise in data technologies such AWS Redshift, Spark Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.