Senior Data Engineer, AWS Specialist and Partner Organization

About the role

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, innovative team that is making history, this is the place for you.

Responsibilities

• 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.
• Exemplary communication skills.
• Hands-on experience with AI/ML technologies, including large language models (LLMs).
• Strong understanding of designing and building Agentic Frameworks — including autonomous agents, multi-agent orchestration, tool integration, and retrieval-augmented generation (RAG) pipelines.
• Comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail.
• 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.

Requirements

• 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, FireHose, Lambda, and IAM roles and permissions.
• Experience in writing complex, highly-optimized SQL queries across large datasets.

Qualifications

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

Skills

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.

Benefits

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. Learn more about our benefits at https://amazon.jobs/en/benefits.

Pay

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, and location.

Schedule

Work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies.