Data Engineer, Deal Intelligence & Automation

Arlington, VA onsite role with a competitive compensation range of USD 154,600 to 209,100 annually. As a Data Engineer in AWS Global Data Services and Deals Platform (GDSP), you will design and maintain data pipelines, models, and platforms that enable deal intelligence and automation. You will partner with product management and engineering to deliver scalable, high quality data products and analytics.

Benefits

• Sign-on payments and RSUs
• Comprehensive health coverage including medical, dental, vision, prescription, Basic Life & AD&D, with optional supplemental life plans, EAP, mental health support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement
• 401(k) matching
• Paid time off
• Parental leave

Responsibilities

• Design and sustain the backend data infrastructure used by analytical and visualization tools, ensuring data is clean, fresh, and optimized for downstream consumption
• Translate business problems into technical data requirements in collaboration with product management and stakeholders to define data products to build
• Automate and optimize reporting to enable scalable self service analytics, reducing manual effort and accelerating insights
• Establish measurement frameworks and metrics that 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 craft next generation data solutions that improve efficiency and unlock new analytical capabilities

Requirements

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

Technologies

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

About the Team

The team builds products that power how GDSP operates, with reporting and tooling held to high standards of clarity, reliability, and scalability.

Diverse Experiences

AWS values diverse experiences. If you do not meet every preferred qualification, we encourage you to apply. If your career path is nontraditional or just beginning, your experience may still be a strong fit.

Why AWS

Amazon Web Services is the world’s most comprehensive and broadly adopted cloud platform. AWS pioneered cloud computing and continues to innovate, earning the trust of customers from startups to Global 500 companies to power their businesses.

Inclusive Team Culture

AWS fosters curiosity and connection. Employee led and company sponsored affinity groups promote inclusion and empower teams to bring their unique perspectives to work. Inclusion events strengthen collaboration, and bold ideas from diverse voices drive ongoing innovation.

Mentorship & Career Growth

AWS aims to raise the performance bar and support your growth with mentorship and a range of knowledge-sharing resources to develop you as a well-rounded professional.

Work Life Balance

AWS supports work life harmony and flexible working arrangements to help you succeed at work while maintaining a healthy home life.