Description Amazon Software Builder Experience has a mission to make Amazon the best place to be a software builder. It was established in 2022 bringing together existing and new teams with a focus on modernizing processes and tools. The organization is invested in deeply understanding the software builder experience in order to uncover areas of opportunity to improve it through tooling or process. As a Data Engineer, you will provide technical leadership, lead data engineering initiatives, and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact. Key job responsibilities - Work closely with software engineers and business intelligence engineers to create robust data architectures and pipelines. - Simplify and enhance the accessibility, clarity, and usability of large or complex datasets through the development of advanced BI dashboards and applications. - Take ownership of the design, creation, and upkeep of metrics, reports, analyses, and dashboards to inform key business decisions. - Navigate ambiguous environments by evaluating various options using both data-driven insights and business expertise. - Develop and manage scalable, automated, and fault-tolerant data solutions using technologies such as Spark, LakeFormation, Python, Redshift, Glue, and S3. A day in the life Data Engineers focus on building end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About the team The mission of the Golden Path team is to make software development at Amazon delightful, actively removing distractions that get in the way of invention. We accomplish our mission though golden path programs that make recommendations helping builders achieve a high bar on security, availability, and development experience. We champion product improvements to the builder experience that make our tools work better together, and deliver mechanisms to help teams adopt new and existing recommendations. Basic Qualifications - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Preferred Qualifications - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.