Amazon
Data Engineer, Robotics Delivery and Packaging Innovation
$101K–$160K
Bellevue, WA · Full-time · Posted Oct 15, 2026
- Experience
- 1+ years of data engineering experience; 2+ years analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
- Education
- Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics.
About the job
Builds and operates data pipelines and infrastructure that provide trusted warehouse automation and customer packaging metrics for analytics and business decisions.
What you'll do
- Build and maintain scalable ETL/ELT pipelines and source-of-truth data stores using data from diverse sources.
- Apply data modeling, data quality, security, and access-control practices; optimize batch and real-time processing and AWS resources.
- Partner with technical and business teams to deliver reliable datasets and use AI-assisted development tools while validating generated output.
What they ask for
- Bachelor's degree in a quantitative or technical field such as computer science, engineering, or statistics.
- Knowledge of distributed systems for data storage and computing.
- Experience with data modeling, warehousing, and ETL pipelines; experience with at least one query language and one scripting language.
- Experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
Nice to have
- Experience with big data technologies such as Hadoop, Hive, Spark, or EMR.
- Experience with an ETL tool such as Informatica, ODI, SSIS, BODI, or Datastage.
Pay
USD 101,300.00 - 160,000.00 annually (base salary)
Tools
SQL, Python, Spark, Redshift, Oracle, NoSQL, AWS, Amazon Q
AI focus
Use AI-assisted development tools such as Amazon Q and Kiro to accelerate pipeline development, SQL, and debugging, validating generated output; design infrastructure to support future machine learning and GenAI use cases.
Model-written summary · the original posting is authoritative