Senior Data Engineer, AWS Specialist and Partner Organization

Job Description

AWS is one of Amazon’s largest and fastest growing businesses, serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises use information technology. We are looking for entrepreneurial, analytical, creative, flexible leaders to help us redefine the information technology industry. If you want to join a fast‑paced and innovative team, this is the place for you.

The successful candidate will be an expert with SQL, ETL (and general data wrangling), with experience leveraging cloud-based data services such as AWS EMR, Glue, Firehose, Lambda, and similar technologies, and have exemplary communication skills. The candidate should have hands‑on experience with AI/ML technologies, including large language models (LLMs), and a strong understanding of designing and building agentic frameworks — including autonomous agents, multi‑agent orchestration, tool integration, and retrieval‑augmented generation (RAG) pipelines.

The candidate will need to be comfortable with ambiguity in a fast‑paced and ever‑changing environment, and able to think big while paying careful attention to detail. The candidate will be passionate about working with huge data sets, leveraging AI‑driven approaches to unlock insights, and someone who loves to bring data together to answer business questions and drive growth.

• 5+ 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
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Fire Hose, Lambda, and IAM roles and permissions
• Experience writing complex, highly‑optimized SQL queries across large datasets

• Experience with big data technologies such as Hadoop, Hive, Spark, EMR
• Experience operating large data warehouses
• Experience delivering results for large, cross‑functional initiatives/projects
• Experience providing technical leadership and mentoring other engineers for best practices on data engineering
• Experience with AI/ML technologies, including agentic frameworks, autonomous agents, multi‑agent orchestration, tool integration, and RAG pipelines
• Experience driving technical vision and roadmap for data platforms and infrastructure

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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, and parental leave.

USA, CA, Mountain View –  –  USD annually
USA, CA, San Francisco –  –  USD annually
USA, NY, New York –  –  USD annually
USA, TX, Austin –  –  USD annually
USA, TX, Dallas –  –  USD annually
USA, WA, Seattle –  –  USD annually

Services LLC

A