2 days ago
Bellevue, WA, USAMid Level
H1B sponsor
Base Salary
$144k - $194k/yr
Responsibilities
- Design, build, and operate scalable batch and streaming data pipelines for large volumes of supply-chain data.
- Own data modeling, data warehousing, curated datasets, feature engineering pipelines, and feature stores for analytics and ML workloads.
- Partner with Applied and Research Scientists on training data preparation, feature delivery, ML workflows, and model-scoring pipelines.
- Lead design reviews and make technical trade-offs involving performance, cost, scalability, and operational complexity.
- Own data quality, lineage, observability, monitoring, and reliability improvements across production datasets and services.
- Deliver tested, production-quality software and promote code reviews, CI/CD, and operational excellence.
- Diagnose and resolve complex production and data issues, participate in on-call, and reduce operational load through automation.
- Mentor SDE I and early-career engineers and influence the technical roadmap for the data platform.
Requirements
- At least 3 years of experience building complex software systems.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
- Strong Python proficiency and experience with SQL at scale.
- Experience building and owning batch and streaming data pipelines in production.
- Experience with big data technologies such as Spark, Hive, Presto, or similar distributed computing frameworks.
- Experience building data models and ETL/ELT pipelines for analytics, reporting, and ML workloads.
- Experience collaborating with science or ML teams to move models from prototype to production.
- Experience with data quality, validation, or observability practices for production datasets.
- Experience using AI coding assistants or agentic development tools such as Amazon Q Developer, Copilot, Kiro, or similar tools.
- Solid software engineering fundamentals, including testing, CI/CD, code review, and production operations.
- Preferred experience deploying ML models to production and designing large-scale data architectures such as data lakes, data warehouses, or lakehouse patterns.
- Preferred experience with MLOps tooling, streaming systems, orchestration tools, infrastructure-as-code, data lineage and cataloging, metrics and reporting infrastructure, prompt engineering, LLM APIs, and ML evaluation frameworks.
- Experience partnering cross-team with software engineers to ship ML-integrated services or systems is preferred.
- Background in supply-chain, logistics, fulfillment, or operational environments is preferred.
Benefits
- Comprehensive medical, dental, vision, prescription, Basic Life & AD&D insurance, supplemental life plan options, EAP, mental health support, medical advice line, flexible spending accounts, and adoption and surrogacy reimbursement coverage.
- 401(k) matching, paid time off, and parental leave.
- The package may include sign-on payments and restricted stock units (RSUs); final compensation depends on experience, qualifications, and location.
- Position located in Bellevue, Washington, USA.
Tech Stack
Categories
Data Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.