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Data Engineer, People eXperience and Technology (PXT) Central Science

DescriptionThe People eXperience and Technology (PXT) Central Science Team uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. We invest in innovation and rapid prototyping of scientific models and software solutions to accelerate informed, accurate, and reliable decision backed by science and data.We are looking for an experienced data engineer engineer to integrate data sources and create a data infrastructure to model and research all aspects of HR, including: workforce planning, recruiting, employee engagement, retention, development, employee benefits, and compensation. Lead information architecture workstream, automate ingestion and consumption using AWS toolsets and data mesh implementations. Build data taxonomy to organize data by subject matter domains. Develop a seamless vending strategy for sharing data with PXT and Amazon stakeholders. Lead data curation for easy consumption in science models. Lead and streamline data governance for protecting privacy for Amazonians.The ideal candidate is expected to work closely with senior scientists and business leaders to study the impact Amazon has had on workers, the market, and the economy. You will build new data engineering solutions end-to-end, will work with multiple stakeholders across HR and Operations, and will build data pipelines/automation that can be used by distributed systems to run statistical and ML models. A successful candidate will have a passion for innovation, interest in cutting-edge technology, and excitement about working in a high-impact domain.Basic Qualifications• 3+ years of data engineering experience• Experience with data modeling, warehousing and building ETL pipelines• Experience with SQLPreferred Qualifications• 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)Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.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 Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.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.Company - Amazon.com Services LLCJob ID: A2821444

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What You Should Know About Data Engineer, People eXperience and Technology (PXT) Central Science, Amazon

Are you ready to make a significant impact at Amazon? Join our People eXperience and Technology (PXT) Central Science Team as a Data Engineer. Located in the beautiful city of Bellevue, WA, you'll be part of an interdisciplinary team merging economics, behavioral science, and machine learning. Your role will involve integrating diverse data sources to construct a robust data infrastructure that supports all facets of HR, including workforce planning, employee engagement, and more. Your work will directly enhance the well-being of Amazonians and help us innovate through scientific models and software solutions. If you're passionate about data and want to streamline processes that are vital to our operations, this is the perfect opportunity for you! As a Data Engineer at Amazon, you will be leading the charge in automating data ingestion and consumption using AWS toolsets, while fostering a culture of innovation and collaboration with key stakeholders. You'll have the chance to build data pipelines, manage information architecture, and ensure data governance that protects Amazonians' privacy. If you thrive on working in high-impact areas and enjoy collaborating with brilliant minds, your adventure starts here!

Frequently Asked Questions (FAQs) for Data Engineer, People eXperience and Technology (PXT) Central Science Role at Amazon

What are the responsibilities of a Data Engineer at Amazon?

As a Data Engineer in the People eXperience and Technology Central Science Team at Amazon, you'll be responsible for integrating data sources and building a comprehensive data infrastructure to support various HR functions. Your main duties will include designing ETL pipelines, managing data taxonomy, and automating data ingestion using AWS services. Collaborating closely with senior scientists and business leaders will also be key, as you will assist in studying the impact of Amazon on its workforce and economy.