Data Engineer, Deal Intelligence & Automation

Data Engineer role within AWS GDSP focused on building and maintaining data pipelines, models, and platforms to unlock deal intelligence and automation.

Responsibilities

• Develop and sustain the backend data architecture supporting analytical and visualization platforms, ensuring data quality, freshness, and efficient downstream use.
• Turn business problems into technical data requirements by partnering with product management and stakeholders to define data products.
• Automate and optimize reporting workflows to enable self-service analytics at scale, reducing manual effort and accelerating insights.
• Create measurement frameworks and KPIs to quantify deal execution performance and system health.
• Monitor, validate, audit, and document pipelines and data sources to ensure data quality.
• Leverage AWS services and generative AI to design next-generation data solutions that boost efficiency and unlock new analytical capabilities.

Requirements

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

Technologies

• SQL
• Python
• Java
• Scala
• NodeJS
• Hadoop
• Hive
• Spark
• EMR
• AWS services
• Generative AI

Benefits

• Sign-on payments and 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

About the Team

• The team develops products that power how GDSP operates.
• Reporting and tooling are built to meet high standards of clarity, reliability, and scalability.

Diverse Experiences

• AWS values diverse experiences and encourages applicants to apply even if not all preferred qualifications are met. If your career is nontraditional or just starting, consider applying.

Why AWS

• AWS is the world’s most comprehensive and broadly adopted cloud platform, trusted by startups and Global 500 companies for powering their businesses through ongoing innovation.

Inclusive Team Culture

• AWS supports curiosity and connection through affinity groups and inclusion events that foster stronger, more collaborative teams and celebrate diverse perspectives.

Mentorship & Career Growth

• Continuous opportunities for knowledge sharing, mentorship, and career development resources to help professionals grow.

Work/Life Balance

• Emphasis on work-life harmony with flexible work practices to support home and professional responsibilities.