Data Engineer, Deal Intelligence & Automation, AWS GDSP

AWS GDSP builds the products that power how the organization operates, with reporting and tooling designed for clarity, reliability, and scalability. In this Data Engineering role, you will design and deliver the data infrastructure and pipelines that enable deal intelligence and automation across teams, with an emphasis on data quality, freshness, and performance at scale. You will also use AWS services and generative AI to improve efficiency and expand analytical capabilities.

Role focus

• Design, build, and maintain data infrastructure, pipelines, data models, and platforms for deal intelligence and automation
• Ensure downstream analytical and visualization platforms receive data that is clean, fresh, and optimized
• Use AWS services and generative AI to deliver next-generation data solutions

Responsibilities

• Build and maintain backend data infrastructure for analytical and visualization platforms, supporting clean, fresh, optimized data for downstream consumption
• Convert business problem statements into technical data requirements by partnering with product management and stakeholders to define data products
• Automate and optimize reporting processes to enable self-service analytics at scale and reduce manual effort
• Create measurement frameworks and metrics to quantify deal execution performance and operational health
• Maintain data quality through monitoring, validation, auditing, and documentation of pipelines and data sources
• Leverage AWS services and generative AI to improve efficiency and unlock new analytical capabilities

Requirements

• 5+ years of data engineering experience
• Experience with data modeling, warehousing, and building ETL pipelines
• SQL experience
• Experience with at least one modern scripting or programming language: Python, Java, Scala, or NodeJS
• Experience mentoring team members on best practices

Technologies

• SQL, Python, Java, Scala, NodeJS
• Hadoop, Hive, Spark, EMR
• ETL

Compensation

• USD 154,600 - 240,500 per year

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
• Support for workplace accommodation or adjustment during the application and hiring process

Team and culture

• The team builds products that power how GDSP operates
• Reporting and tooling are held to high standards of clarity, reliability, and scalability
• AWS values curiosity and connection, with employee-led and company-sponsored affinity groups to promote inclusion
• Inclusion events support stronger, more collaborative teams
• Mentorship and career-advancing resources include knowledge-sharing and mentorship
• A work-life harmony approach emphasizes flexibility as part of the working culture

AWS also encourages candidates to apply even if they do not meet all listed preferred qualifications and skills, and welcomes diverse career paths and alternative experiences.