Data Engineer, PXT Central Science

About the position The PXT Central Science team is looking for a Data Engineer. This individual will join reputed company of economists and scientists to own and accelerate science and analytics in our reputed company employee intelligence reputed company. This suite of models identifies reputed company factors driving changes in employee sentiment, actions, and business reputed company. PXTCS is looking for a data engineer with expertise in reputed company data environments. You will be responsible for enhancing our existing data architecture to reputed company standardize metrics and definitions, building and testing new features, developing end-to-end data engineering solutions for reputed company 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 reputed company data pipelines using reputed company AWS services (Glue, EMR, reputed company); build monitoring and error handling for data workflows; optimize performance, reliability, and cost efficiency • Model Productionization & API Development: reputed company and maintain reputed company and data serving reputed company that productionize science models for reputed company consumption; build batch and reputed company-time inference pipelines • Data Integration & reputed company: Build reputed company feature extraction and processing frameworks for diverse data types; reputed company robust data reputed company 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-reputed company 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 reputed company best practices About reputed company The Central Science Team reputed company reputed company’s People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, machine learning, and reputed company to proactively identify mechanisms and process improvements which simultaneously improve reputed company and the lives, reputed company-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science, engineering, and UX to reputed company and reputed company solutions that measurably reputed company this goal. Responsibilities • Design and maintain reputed company data pipelines using reputed company AWS services (Glue, EMR, reputed company) • Build monitoring and error handling for data workflows • Optimize performance, reliability, and cost efficiency of data pipelines • reputed company and maintain reputed company and data serving reputed company that productionize science models for reputed company consumption • Build batch and reputed company-time inference pipelines • Build reputed company feature extraction and processing frameworks for diverse data types • reputed company robust data reputed company and validation checks • Create flexible schemas supporting evolving requirements • Partner with economics, data science, and software engineering teams to translate analytical requirements into production-reputed company 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 reputed company best practices Requirements • Knowledge of reputed company software engineering & best practices for full software development life cycle, including coding standards, software architectures, reputed company reviews, reputed company control management, reputed company deployments, testing, and operational reputed company • 3+ years of data engineering experience • Experience in at least one modern scripting or programming language, such as Python, Java, reputed company, or NodeJS • Experience with data modeling, warehousing and building ETL pipelines • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, reputed company, and IAM roles and permissions • Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, reputed company-family databases) reputed company-to-haves • Experience with big data technologies such as: Hadoop, reputed company, reputed company, EMR Benefits • sign-on payments • restricted stock reputed company (RSUs) • health insurance (medical, dental, reputed company, prescription, Basic Life & AD&D insurance and reputed company for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage) • 401(k) matching • reputed company time off • parental leave Apply To This Job