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Join our Alexa Audio Data and Insights team as a Data Engineer, and lead futuristic big data initiatives that will shape the next generation of intelligent, conversational experiences. In this role, you'll work at the intersection of disruptive AI technologies and real-world impact, making a difference for millions of customers. You'll collaborate with a team of passionate professionals who are as excited about innovation as you are, and together, you'll push the boundaries of what's possible with Alexa+. As a Data Engineer, you'll drive the development of data pipelines and automation to process massive datasets for our next-generation Audio features powered by advanced AI technologies. You'll work closely with cross-functional teams, including product management, design, engineering, Business Intelligence, and data science. You'll also lead the integration of these advanced AI systems into Alexa Audio's core capabilities, ensuring a seamless and intuitive customer experience. Key job responsibilities Key job responsibilities - Work closely with data scientists, BI, and engineers to create robust data architectures and pipelines - Develop and manage scalable data pipelines to extract, transform, and load data from various sources - Collaborate with stakeholders to understand business requirements and translate them into data-driven solutions - Automate data processing and reporting workflows to improve efficiency and data integrity - Implement data quality checks and monitor processes to maintain high data accuracy - Simplify and enhance the accessibility, clarity, and usability of large and complex datasets through the development of data cubes and data sharing solutions - Develop and manage scalable, automated, and fault-tolerant data solutions using technologies such as Spark, EMR, Python, Redshift, Glue, and S3 About the team Our team consists of Business Intelligence Engineers (BIEs), Data Engineers (DEs), Data Scientists (DS’s) and DS/BI Managers, who bring deep experience in both business analytics and data science. We cover the data needs of Music, Radio, Podcasts, Books, News and Generative audio.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.