Amazon
Business Intelligence Engineer II, CDR Pillar 1 Strategy and DX
$100K–$160K
Austin, TX +2 · Full-time · Posted Jul 31, 2026
- Location
- Austin, TX
Seattle, WA
Arlington, VA - Experience
- 5+ years of data engineering and 5+ years of SQL experience; 3+ years of end-to-end supply chain domain experience; 3+ years with data visualization tools.
- Education
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field.
About the job
Builds and operates data pipelines, business intelligence tools, and master data frameworks to support AWS supply-chain strategy and decision-making.
What you'll do
- Develop and maintain automated dashboards, reports, and scalable data pipelines.
- Analyze large datasets and deliver insights, metrics, and executive reporting.
- Implement master data management and improve data governance, quality, and reliability.
What they ask for
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field.
- 5+ years of data engineering experience, including large-scale BI data structures and ETL processes; 5+ years of SQL experience.
- Experience with AWS Cloud Stack technologies: Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
- 3+ years of end-to-end supply chain domain experience; proficiency in Python and one additional modern programming language; 3+ years with data visualization tools.
Nice to have
- Experience with master data management, data governance, data quality, and data stewardship.
- Experience with machine learning and optimization for predictive and prescriptive analytics; Certified Data Management Professional.
Pay
99,500.00 - 160,000.00 USD annually (base salary); 99,500.00 - 160,000.00 USD annually (base salary); 99,500.00 - 160,000.00 USD annually (base salary)
Tools
SQL, Python, Java, Scala, NodeJS, Redshift, S3, AWS Glue
AI focus
Use machine learning and optimization techniques for predictive and prescriptive analytics where appropriate.
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