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. The ASP Data Engineering Team supports the data needs of the AWS Specialist and Partner Organization, a worldwide team of specialists and partners helping customers transform their businesses through AWS's Core, GenAI, and Partner services and solutions.
Key job responsibilities
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.
Basic Qualifications
- 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
Preferred Qualifications
- 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
Pay
- USA, CA, Mountain View: 177,800.00 - 240,500.00 USD annually
- USA, CA, San Francisco: 177,800.00 - 240,500.00 USD annually
- USA, NY, New York: 170,000.00 - 230,000.00 USD annually
- USA, TX, Austin: 154,600.00 - 209,100.00 USD annually
- USA, TX, Dallas: 154,600.00 - 209,100.00 USD annually
- USA, WA, Seattle: 154,600.00 - 209,100.00 USD annually
Benefits
- 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
- Sign-on payments and restricted stock units (RSUs)