Senior Data Engineer, AWS Specialist and Partner Organization
Amazon, Austin, TX, United States
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.
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 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
Equal Opportunity Employer
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: 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. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Salary
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
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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 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
Equal Opportunity Employer
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: 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. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Salary
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
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