Data Engineer, Deal Intelligence & Automation, AWS GDSP

GDSP

Job Location:

Seattle, OR - USA

Monthly Salary: Not Disclosed

Posted on: 14 days ago

Vacancies: 1 Vacancy

Department:

Data Engineering

Job Summary

GDSP is seeking a Data Engineer to own the data infrastructure that unlocks deal intelligence and automation capabilities across the organization. The role is responsible for designing building and maintaining the pipelines data models and platforms that enable deal teams to access precise reliable insights from broad data sets (deal telemetry pricing models customer usage pipeline signals) at scale with speed and accuracy that hold as volume grows.

These data products serve deal strategists pricing leaders and senior executives who depend on them to structure evaluate and negotiate transformative contracts with AWSs most strategic customers. Quality freshness and accuracy of data outputs have direct measurable impact on deal velocity pricing quality and revenue outcomes.

This is a high-visibility role. The data engineer partners closely with product management to translate analytical requirements into scalable data solutions and with engineering teams to ensure pipelines integrate cleanly across GDSPs tooling ecosystem. The role will leverage generative AI and AWS services to raise the bar on how GDSP consumes and acts on data.

Key job responsibilities
- Build and maintain backend data infrastructure for analytical and visualization platforms ensuring data is clean fresh and optimized for downstream consumption

- Translate business problem statements into technical data requirements partnering with product management and stakeholders to define what data products to build

- Automate and optimize reporting processes to enable self-service analytics at scale reducing manual effort and improving speed to insight

- Develop measurement frameworks and metrics that quantify deal execution performance and operational health

- Ensure data quality through monitoring validation auditing and documentation of pipelines and data sources

- Leverage AWS services and generative AI to build next-generation data solutions that improve efficiency and unlock new analytical capabilities

About the team
The team builds products that power how GDSP operates. Reporting and tooling that are held to the highest standards of clarity reliability and scalability.

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.

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

- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience operating large data warehouses

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Required Experience:

Apply Now

About Company

GDSP

Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... View more

View Profile View Profile

AI AutoApply

Apply to 100+ jobs with one click