Amazon Web Services (AWS) GDSP is seeking a Data Engineer to build and maintain data infrastructure that supports deal intelligence and automation. The role focuses on delivering reliable, scalable data pipelines and data products, partnering closely with product and engineering teams, and applying AWS services along with generative AI to improve analytical capabilities.
Responsibilities
- Build and maintain backend data infrastructure for analytical and visualization platforms, with a focus on data that is clean, fresh, and optimized for downstream consumption.
- Convert business problem statements into technical data requirements by partnering with product management and relevant stakeholders to define the data products to deliver.
- Automate and optimize reporting workflows to enable self-service analytics at scale, reducing manual effort and improving time to insight.
- 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.
- Use AWS services and generative AI to develop next-generation data solutions that enhance efficiency and expand analytical possibilities.
Required Qualifications
- 5+ years of data engineering experience.
- Experience with data modeling, warehousing, and building ETL pipelines.
- Proficiency with 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.
Technology Stack
- SQL
- Python
- Java
- Scala
- NodeJS
- Hadoop
- Hive
- Spark
- EMR
About the Team
The team creates products that support how GDSP operates. Reporting and tooling are designed to meet high standards of clarity, reliability, and scalability.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all listed qualifications, candidates are encouraged to apply. AWS also welcomes applicants whose careers did not follow a traditional path or include alternative experience.
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
Why AWS
Amazon Web Services (AWS) is a broadly adopted cloud platform used by customers ranging from startups to Global 500 companies. AWS pioneered cloud computing and continues to innovate to support business needs through its suite of services.
Inclusive Team Culture
AWS emphasizes curiosity and connection. Employee-led and company-sponsored affinity groups help promote inclusion and empower employees to take pride in what makes them unique. Inclusion events support stronger, more collaborative teams, and continual innovation is driven by bold ideas, fresh perspectives, and passionate voices.
Mentorship & Career Growth
AWS focuses on raising performance standards and providing knowledge-sharing, mentorship, and career-advancing resources to help employees grow into well-rounded professionals.
Work/Life Balance
AWS prioritizes work-life harmony and strives for flexibility within its working culture, supporting success at work without sacrificing time at home.
Location: Boston, MA (onsite)
Salary Range: USD 154,600 - 240,500 per year
Minimum Experience: 5 years
