Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
Tailor your resume to this Data Engineer, PXT Central Science role.
Rezi rewrites your resume against Amazon's job description. Free.
Tailor your resume to this Data Engineer, PXT Central Science role.
Rezi rewrites your resume against Amazon's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Data Engineer, PXT Central Science posting at Amazon — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Data Engineer, PXT Central Science posting at Amazon — free, in seconds.
About the Role
As a Data Engineer on PXTCS, you'll work side by side with economists, data scientists, software engineers, and applied scientists turning leading-edge ML and Generative AI models into reliable, scalable production systems. This is a rare chance to see your code directly shape how Amazon supports its workforce, spanning areas like benefits, compensation, recruiting, voice of employee, management practices, and organizational culture.
Responsibilities
- Design and maintain scalable data pipelines using native AWS services (Glue, EMR, Lambda)
- Build monitoring and error handling for data workflows
- Optimize performance, reliability, and cost efficiency of data pipelines
- Develop and maintain APIs and data serving layers that productionize science models
- Build batch and real-time inference pipelines
- Build scalable feature extraction and processing frameworks for diverse data types
- Develop robust data quality and validation checks
- Create flexible schemas supporting evolving requirements
- Partner with economics, data science, and software engineering teams to translate analytical requirements into production-ready solutions
- Participate in technical design reviews and architecture discussions
- Maintain layered data systems used by economists and scientists
- Build automated reporting solutions
- Work across multiple interconnected AWS accounts with security best practices
Requirements
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- 3+ years of data engineering experience
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Skills
- AWS Glue
- AWS EMR
- AWS Lambda
- Redshift
- S3
- Kinesis
- FireHose
- IAM roles and permissions
- Python
- Java
- Scala
- NodeJS
- Data modeling
- Data warehousing
- ETL pipelines
- Non-relational databases
- Object storage
- Document stores
- Key-value stores
- Graph databases
- Column-family databases
- Hadoop
- Hive
- Spark
Location
- USA, CA, San Francisco
- USA, VA, Arlington
- USA, WA, Bellevue
- USA, WA, Seattle
Work Type
- Full-time
Experience Level
- 3+ years of data engineering experience
Salary/Compensations
- 152,000.00 - 205,600.00 USD annually (San Francisco)
- 132,100.00 - 178,800.00 USD annually (Arlington, Bellevue, Seattle)
Benefits
- 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 Company
- Amazon's People Experience and Technology Central Science (PXTCS) team uses economics, behavioral science, statistics, machine learning, and Generative AI to proactively identify mechanisms and process improvements that simultaneously improve Amazon and the lives, well-being, and value of work for Amazonians.
- PXTCS is an interdisciplinary team that combines the talents of science, engineering, and UX to build and deliver solutions that measurably achieve this goal — at a scale that touches over 1.5 million Amazonians worldwide.
- PXTCS combines economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements that improve both Amazon's operations and the experience of every Amazonian.
- Its engineering teams take science-driven insights and models — spanning areas like benefits, compensation, recruiting, voice of employee, management practices, and organizational culture — and turn them into production systems operating at Amazon's scale.
- PXTCS is an interdisciplinary group where engineering, applied science, and product work side-by-side, and where this team's output directly shapes how Amazon supports its workforce.
Equal Opportunity
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
- 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.