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 AWS's 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 GDSP's 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
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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
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Work/Life Balance
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Basic Qualifications
- 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
Preferred Qualifications
- 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 Company’s 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, San Francisco - 177,800.00 - 240,500.00 USD annually USA, CA, Santa Monica - 154,600.00 - 209,100.00 USD annually USA, GA, Atlanta - 154,600.00 - 209,100.00 USD annually USA, IL, Chicago - 154,600.00 - 209,100.00 USD annually USA, NY, New York - 170,000.00 - 230,000.00 USD annually USA, TX, Austin - 154,600.00 - 209,100.00 USD annually USA, TX, Dallas - 154,600.00 - 209,100.00 USD annually USA, VA, Arlington - 154,600.00 - 209,100.00 USD annually USA, VA, Herndon - 154,600.00 - 209,100.00 USD annually USA, WA, Seattle - 154,600.00 - 209,100.00 USD annually