Data Engineer , PXT EXR-Ops Tech

Responsibilities

• A key focus of this role involves harnessing the power of Generative AI to optimize data source discovery and pipeline development, building intelligent agents to help Business Intelligence Engineers and Scientists identify emerging opportunities, creating self-service capabilities for stakeholders, and developing AI-integrated data platforms

Preferred

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• 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
• Glassdoor
• 3.7
• Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and AI infrastructure.
• Seattle, Washington, USA
• https://amazon.com
• Distribution of Different Job Fields Receiving Sponsorship
• Represents job field similar to this job
• Engineering and Development
• Management and Executive
• Product Management
• Customer Service and Support
• Accounting and Finance
• Sales
• Creatives and Design
• Marketing
• Human Resources
• Legal and Compliance
• Education and Training
• Public Sector and Government
• Arts and Entertainment
• Trends of Total Sponsorships
• *2026
• (19841)

Qualifications

• 1+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
• Experience with one or more scripting language (e.g., Python, KornShell)
• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc

Required skills

• Amazon EMR, Data Modeling, Data Warehousing, ETL Pipeline Development, Hadoop, Hive, Informatica, PL/SQL, Python, SQL, Scala, Spark

Experience

• 1+ years