Amazon
Job ID: 3109133 | Amazon.com Services LLC
Job Overview 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. A suite of models identifies causal factors driving changes in employee sentiment, actions, and business outcomes.
Responsibilities
Data Pipeline Development & Management: Design and maintain scalable data pipelines using native AWS services (Glue, EMR, Lambda); build robust monitoring and error handling systems for data workflows; optimize pipeline performance, reliability, and cost efficiency; develop feature engineering frameworks and automated data transformations; create clear documentation for pipeline architecture and operations.
Advanced Data Integration: Design and implement pipelines for diverse data types (text, image, audio); build scalable feature extraction and processing frameworks; develop robust data quality and validation checks; create flexible schemas to support evolving data requirements; shape data strategy and modeling approaches across teams.
Cross-team Collaboration: Partner with economics and data science teams to understand analytical requirements; work closely with software engineering teams to ensure seamless integration with existing systems; collaborate with infrastructure teams to optimize resource utilization across interconnected AWS accounts; participate in technical design reviews and architecture discussions.
Analytics Platform Management: Maintain and enhance layered data systems used by economists and scientists; build automated reporting solutions for senior leadership and other stakeholders; implement version control and change management processes for analytical environments.
Technical Environment: Work across multiple interconnected AWS accounts and services; implement security best practices for cross-account data access; design solutions that scale across multiple regions and business units.
About the Team The Central Science Team within Amazon’s 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.
Basic Qualifications
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).
Preferred Qualifications
Experience with big data technologies such as Hadoop, Hive, Spark, EMR.
Experience architecting/operating solutions built on AWS.
Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Posted:
October 15, 2025 (Updated 1 day ago)
#J-18808-Ljbffr
Job Overview 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. A suite of models identifies causal factors driving changes in employee sentiment, actions, and business outcomes.
Responsibilities
Data Pipeline Development & Management: Design and maintain scalable data pipelines using native AWS services (Glue, EMR, Lambda); build robust monitoring and error handling systems for data workflows; optimize pipeline performance, reliability, and cost efficiency; develop feature engineering frameworks and automated data transformations; create clear documentation for pipeline architecture and operations.
Advanced Data Integration: Design and implement pipelines for diverse data types (text, image, audio); build scalable feature extraction and processing frameworks; develop robust data quality and validation checks; create flexible schemas to support evolving data requirements; shape data strategy and modeling approaches across teams.
Cross-team Collaboration: Partner with economics and data science teams to understand analytical requirements; work closely with software engineering teams to ensure seamless integration with existing systems; collaborate with infrastructure teams to optimize resource utilization across interconnected AWS accounts; participate in technical design reviews and architecture discussions.
Analytics Platform Management: Maintain and enhance layered data systems used by economists and scientists; build automated reporting solutions for senior leadership and other stakeholders; implement version control and change management processes for analytical environments.
Technical Environment: Work across multiple interconnected AWS accounts and services; implement security best practices for cross-account data access; design solutions that scale across multiple regions and business units.
About the Team The Central Science Team within Amazon’s 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.
Basic Qualifications
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).
Preferred Qualifications
Experience with big data technologies such as Hadoop, Hive, Spark, EMR.
Experience architecting/operating solutions built on AWS.
Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Posted:
October 15, 2025 (Updated 1 day ago)
#J-18808-Ljbffr