Join Audible, an Amazon company, as a Software Development Engineer II focused on data engineering in Newark, NJ. In this role, you'll be responsible for designing and implementing large-scale, high-performance data structures that power business intelligence analytics. You'll work with cutting-edge technologies including ETL/ELT processes, OLAP technologies, and streaming platforms like Spark, Hive, and Kafka.
As a mid-level engineer, you'll have the opportunity to make significant contributions to Audible's data infrastructure, working on complex data modeling challenges and implementing robust, scalable solutions. You'll collaborate with cross-functional teams to gather requirements and translate them into effective technical solutions that align with the company's data architecture.
This position offers a blend of technical challenges and leadership opportunities, including mentoring junior engineers and driving best practices in data engineering. You'll be involved in the complete development lifecycle, from initial design through to production deployment and maintenance. The role combines hands-on technical work with strategic thinking, as you'll evaluate and make decisions about dataset implementations and technology choices.
Working at Audible means joining a team that's passionate about using data to drive business decisions and improve customer experiences. The company offers a hybrid work environment, allowing for both office collaboration and remote work flexibility. This is an excellent opportunity for a data engineer looking to work with big data technologies at scale while contributing to a product that millions of customers use daily.
The ideal candidate will bring strong technical skills in data engineering, experience with big data technologies, and the ability to mentor others. You'll be part of a team that values innovation, technical excellence, and continuous learning, working on projects that directly impact Audible's business intelligence and analytics capabilities.