Data Engineer, PXT Central Science

The PXT Central Science team is looking for a Data Engineer. This individual will join a team of economists and scientists to own and accelerate science and analytics in our rapid employee intelligence workstream. This suite of models identifies causal factors driving changes in employee sentiment actions and business outcomes.

Key job responsibilities
PXTCS is looking for a data engineer with expertise in complex data environments. You will be responsible for enhancing our existing data architecture to further standardize metrics and definitions building and testing new features developing end-to-end data engineering solutions for complex analytical problems and collaborating with economists data scientists and software engineers to translate data into actionable insights. Specific responsibilities include:
Data Pipeline Development: 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
Model Productionization & API Development: Develop and maintain APIs and data serving layers that productionize science models for downstream consumption; build batch and real-time inference pipelines
Data Integration & Quality: Build scalable feature extraction and processing frameworks for diverse data types; develop robust data quality and validation checks; create flexible schemas supporting evolving requirements
Cross-team Collaboration: 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
Analytics & Infrastructure: Maintain layered data systems used by economists and scientists; build automated reporting solutions; work across multiple interconnected AWS accounts with security best practices

About the team
The Central Science Team within Amazons People Experience and Technology org (PXTCS) uses economics behavioral science statistics machine learning and Generative AI to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives well-being and the value of work to Amazonians. We are an interdisciplinary team which combines the talents of science engineering and UX to develop and deliver solutions that measurably achieve this goal.

- 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)
- Bachelors degree or foreign equivalent in computer science engineering mathematics or equivalent

- Experience with big data technologies such as: Hadoop Hive Spark EMR
- 4 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree or above in computer science

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.

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 CA San Francisco - 152000.00 - 205600.00 USD annually
USA VA Arlington - 132100.00 - 178800.00 USD annually
USA WA Bellevue - 132100.00 - 178800.00 USD annually
USA WA Seattle - 132100.00 - 178800.00 USD annually