This position is no longer accepting applications
Closed on July 28, 2026.
This role is filled — get an email when new Data Analysis roles open on DataJobs.io:
Sr. Data Engineer, Amazon Fuse
Amazon Emr
Amazon Web Services
Analytics
Artificial Intelligence
Big Data
Bigdata
Business Intelligence
Cloud Platforms
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Integration
Data Platform
Data Processing
Data Warehouse
Database
Engineer
ETL
Integration
Pyspark
Spark
SQL
View similar jobs
Get alerted when similar jobs are posted — set up a New Data Analysis jobs on DataJobs.io alert.
See other roles at Amazon.com Services LLC.
Job Description
Senior Data Engineer on Amazon Fuse's Data Analytics team, focused on building scalable data pipelines and embedding AI into data workflows to influence Fuse's decisions with data-driven insights. This onsite role is based in Seattle, WA, with a salary range of USD 154,600 to 209,100 per year.
Responsibilities
- Design, implement, and maintain scalable data platforms and end-to-end data pipelines, integrating AI tooling to accelerate development and enhance code quality.
- Ingest data from diverse sources using SQL, scripting, and AWS big data technologies to support analytics needs.
- Develop ETL processes and BI solutions, identifying opportunities to weave AI into data workflows such as data validation and transformation logic.
- Collaborate with product owners, software development engineers, and BI engineers to explore new data sources and deliver actionable insights.
- Stay current with advances in big data and AI technologies and contribute to pilot projects.
- Proactively identify and resolve data issues to reduce operational load, applying AI-assisted automation where appropriate.
Requirements
- More than seven years of data engineering experience.
- Experience with data modeling, data warehousing, and building ETL pipelines.
- Strong SQL proficiency.
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
- Experience mentoring team members on engineering best practices.
Technologies
- SQL
- Python
- Java
- Scala
- NodeJS
- AWS big data technologies
- Hadoop
- Hive
- Spark
- EMR
- AI tools including coding assistants and generative AI
Benefits
- Health coverage including medical, dental, vision, and prescription, plus Basic Life and AD&D insurance with optional supplemental life plans; access to EAP, mental health support, Medical Advice Line, Flexible Spending Accounts, and Adoption and Surrogacy Reimbursement.
- 401(k) matching
- Paid time off
- Parental leave
- Sign-on payments
- Restricted stock units (RSUs)
Similar Jobs
