Data Engineer II, Amazon Manufacturing Services (AMS)
Amazon.com Services LLC•5h ago
United StatesOnsite$132.1K–$178.8KFull-timeMid Level3+ yrs exp
H-1B verified · 2310 LCAs
Top focus
Data EngineerVp DataData Warehouse Engineer
- Do you want to turn manufacturing data into decisions that move physical parts through a factory? Amazon Manufacturing Services (AMS) runs 135+ machines producing custom parts for over 100 Amazon organizations
- nearly every machine, order
- operator action generates data worth analyzing. You will join a small, growing data engineering team that owns the pipelines, warehouse, dashboards
- ML workflows that turn raw signals from our services and enterprise systems into throughput, utilization
- quality insights for shop floor users and AMS leadership. The scope is broad, the stakeholders are in the building
- your models will influence how Amazon makes things. Key job responsibilities - Design and operate data pipelines on AWS Glue (PySpark), Kinesis, S3
- EventBridge to ingest DynamoDB streams and enterprise system data into the AMS data lake - Model and maintain the Redshift warehouse and S3/Athena data lake that power analytics across AMS services - Build ingestion and modeling layers for enterprise data sources including SAP S/4HANA, JobBoss, Siemens Teamcenter
- Dot Compliance - Develop QuickSight dashboards for shop floor operators, planners
- AMS leadership, covering operational metrics and executive KPIs - Build and deploy ML models and pipelines for manufacturing use cases such as demand forecasting, machine health prediction
- scheduling optimization - Own data quality, lineage
- documentation across the AMS analytics stack - Collaborate with senior SDEs on architecture, service event schemas
- holding significant ownership over your part of the data domain A day in the life Your day starts with a standup alongside SDEs, data engineers
- manufacturing stakeholders. You pick up where you left off on a React component that displays real-time resource status for shop floor planners. After lunch, you shift to a backend service, designing a DynamoDB schema for part versioning. A code review comes in from a senior engineer working on an enterprise integration bridge
- you spend time understanding how AMS connects to external manufacturing platforms. Some weeks lean more frontend — building interactive data visualizations or responsive layouts for shop floor devices. Other weeks lean more backend — implementing event-sourced entity patterns or integrating with third-party APIs. The mix depends on the sprint and your strengths. Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment
- job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental
- Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan 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
- skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
- 3+ years of data engineering experience - 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience - 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience - 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda
- IAM roles and permissions - Experience in at least one modern scripting or programming language, such as Python, Java, Scala
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Experience providing technical leadership and mentoring other engineers for best practices on data engineering - Experience working on and delivering end to end projects independently Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
- 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications
- location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off
- parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Bellevue - 132,100.00 - 178,800.00 USD annually
Required skills
AWSRedshiftS3AWS GlueKinesisSQLPythonJavaScalaNodeJS