Data Engineer Salary in Seattle, WA

DESCRIPTIONHelp create the future of video and live shopping with Amazon! We are looking to hire a Data Engineer who can operate as a subject-matter expert on data engineering solutions for our business. You will play a key role in contributing to the success of each focus areas by partnering with respective business owners and leveraging data to identify areas of improvement & optimization. The role sits in the sweet spot between technology and business worlds and provides opportunity for growth, high business impact and working with seasoned business leader. You will be responsible to identify gaps in our data architecture and re-architect our data pipelines to enable us to build faster and reliable insights to serve both internal and external stakeholders. Key job responsibilities* Design and develop end-to-end scalable data applications and data pipelines to derive deeper and more accurate insights for our business* Build and support the data warehouse & data lake platforms to enable holistic data analysis at a global level for our program* Design and develop data architecture, data standards and data privacy compliance framework to improve the operational efficiency * Develop automated monitors and alarms to detect anomalous data* Develop automation solutions through programming languages to allow quick understanding of our programs' health and performance* Communicate key insights based on data analysis to key stakeholders, partners and leadershipAbout the teamAmazon Shopping Videos (ASV) is a new strategic program in Advertisement that leverages the potential of video to help millions of customers find product inspiration, learn more about products they are interested in, and interact with creators and their communities every day across the globe. We enable customers to find relevant content and explore our vast library of product-focused videos on our home experiences across desktop, mobile and FireTV, and throughout their shopping journey on Amazon. We are very much a startup within Amazon aiming to reinvent the way customers use video to shop, and we are looking for motivated, thoughtful self-starters who can partner effectively across our multi-disciplinary teams to drive innovation.We are open to hiring candidates to work out of one of the following locations:New York City, NY, USA | Seattle, WA, USABASIC 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.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/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.

DESCRIPTIONThe Publisher Technology Data, Insights, and Analytics team enables faster data-driven decision making for Publishers and Monetization teams by providing them with near real time data, data management tools, actionable insights, and an easy-to-use reporting experience. Our data products provide Publishers and Monetization teams with the capabilities necessary to better understand the performance of their Advertising products along with supporting machine learning at scale.Amazon is continuing to invest in its Advertising business to tap into the growing online advertising market. The Publisher Technologies team builds and operates extensible services that empower 1P Publishers to improve the monetization of their customer experiences, along with the experiences themselves. We bias toward standards-based and flexible designs that allow Publishers the ability to invent on top of our solutions and to interoperate well with other advertising technology providers; both internal and external.As a Senior Data Engineer, you will to build a reliable and efficient data platform to support Analytics and intuitive data products that allow our stakeholders to easily leverage data in a efficient and self-service manner. As part of this team, you will work on diverse data technologies such as Spark, Iceberg, Kafka, and various other AWS technologies to build a scalable and robust data platform supporting Analytics and Experimentation. You will own creating end-to-end data pipelines that consolidate large data sets across various disparate systems and combine them into easily consumable data sets that drive actionable insights for your customers.A successful candidate is highly analytical, able to work extremely effectively in a matrix organization, and adept at synthesizing a variety of technologies and capabilities into products that advertisers love. You must engage with customers to deeply understand their current and emerging needs. Video advertising is rapidly evolving and you must develop customer insight to identify solutions and invent on behalf of their customer. We are looking for someone customer obsessed and technology savvy - with a passion for advertising. The ideal candidate will have a well-rounded technical background as well as a history of leading complex, ambiguous projects end-to-end.Key job responsibilities- Lead, design, and implement Data Pipelines from the ground up utilizing native AWS technologies.- Build robust and scalable end-to-end data pipelines to support Analytics and Science Products- Creatively explore how to use data to continually add value to the Advertising business.- Be a bridge between data engineering and the business, enabling insight that can empower better decision-making.- You have an eye for detail and like to spark joy amongst your cross-functional partners with well-documented high-quality data products that are modeled and easy to understand.We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USABASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practicesPREFERRED QUALIFICATIONS- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience operating large data warehousesAmazon 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.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $123,700/year in our lowest geographic market up to $240,500/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.

DESCRIPTIONThe Payment Acceptance & Experience (PAE) team is looking for a Data Engineer with a deep understanding of the full life-cycle of data generation and application. The PAE team is responsible for how Amazon’s customers pay on Amazon’s sites and through Amazon’s services around the globe.About the RoleAs a Data Engineer I, you will design, develop, implement, test, and operate large-scale, high-volume, high-performance data structures for analytics, reporting and machine learning. You will leverage your expertise in data pipelines and persistence to build systems and tools that lower the cost of performing advanced analysis while also expanding the number and types of analyses that can be performed. You will take the lead in identifying architecture deficiencies, and solving for the same by building cutting edge software solutions.Key job responsibilities• Implement data ingestion routines, both real time and batch using best practices in data modeling• Develop ETL/ELT processes leveraging AWS technologies and Big data tools.• Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture.• Analyze source data systems and drive best practices in source teams.• Participate in the full development life cycle, from design, implementation and testing, to documentation, delivery, support, and maintenance.• Produce comprehensive, usable dataset documentation and metadata.• Evaluate and make recommendations around dataset implementations designed and proposed by peer data engineers.• Evaluate and make recommendations around the use of new or existing software products and tools.We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USABASIC QUALIFICATIONS- 1+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)- Experience with one or more scripting language (e.g., Python, KornShell)- Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets- Knowledge of AWS InfrastructurePREFERRED QUALIFICATIONS- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.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.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $81,000/year in our lowest geographic market up to $185,000/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. Applicants should apply via our internal or external career site.

DESCRIPTIONThe Payment Acceptance & Experience (PAE) team is looking for a Data Engineer with a deep understanding of the full life-cycle of data generation and application. The PAE team is responsible for how Amazon’s customers pay on Amazon’s sites and through Amazon’s services around the globe.About the RoleAs a Data Engineer II, you will design, develop, implement, test, and operate large-scale, high-volume, high-performance data structures for analytics, reporting and machine learning. You will leverage your expertise in data pipelines and persistence to build systems and tools that lower the cost of performing advanced analysis while also expanding the number and types of analyses that can be performed. You will take the lead in identifying architecture deficiencies, and solving for the same by building cutting edge software solutions.Key job responsibilities• Design, implement and operate large-scale, high-volume, high-performance data pipelines for Machine Learning and Analytics.• Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.• Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture.• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using and AWS big data technologies.• Participate in the full development life cycle, from design, implementation and testing, to documentation, delivery, support, and maintenance.• Produce comprehensive, usable dataset documentation and metadata.• Evaluate and make recommendations around dataset implementations designed and proposed by peer data engineers.• Encourage the organisation to adopt next-generation data architecture strategies, proposing both data flows and storage solutions.• Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.• Mentor junior data engineers.We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USABASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Bachelor's degreePREFERRED 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)- Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalentAmazon 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.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/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. Applicants should apply via our internal or external career site.

DESCRIPTIONAmazon Prime’s Science organization leads the Research & Development towards innovation for Amazon Prime. Amazon Prime is the backbone of Amazon’s consumer business and aspires to be the world’s most engaging, satisfying, and loved membership program, driving growth and profitability by spinning Amazon’s flywheel. The program serves over 200 million members across 25 countries and is key to Amazon’s customer growth and engagement. Prime Science innovates in Artificial Intelligence and Economics, to develop algorithms and systems for automated marketing, personalization, targeting, and decisioning. Within the engineering group in Prime Science, we develop world class solutions to complex scientific and engineering problems at Amazon scale. You will work alongside world class scientists to build a suite of fully automated, scalable and robust products driven by the data systems you develop.Do you want to work with the worlds best engineers at massive scale on hard problems? Do you want to be impact over 200 million Prime members WW? Do you want to learn the latest AWS and big data technologies to build cutting-edge science products? Are you someone who likes using big data to drive high-impact business decisions? If the answer is yes, come join our team! Key job responsibilities- Build big data pipelines for machine learning applications at Amazon scale- Advance the state of data engineering infrastructure on the latest tools (AWS Glue, Spark, AWS EMR, EMR Serverless, Ray etc...)- Improve and raise the bar on proactive data quality monitoring and alarming (e.g., anomaly detection) across big data pipelines- Work alongside science to enhance data pipelines that feed models improving the customer experience of over 200MM customers world wide.A day in the lifeAs a data engineer on this team, you will collaborate closely with Prime business leaders, scientists (economists, research scientists, applied scientists) and engineering leaders to build data solutions. You will leverage AWS technologies (EMR, EC2, S3, GLUE, KMS, Lambda, DynamoDB, etc.) to build novel systems and tackle challenges at scale. You will manipulate and process TB-sized data, supporting real-time access and orchestration across multiple systems. Your work will enhance our scientific models and data applications. As a consequence, you will have global impact, improving customer experiences for Prime members worldwide. As a successful candidate, you will successfully interact with both technical and business stakeholders.About the teamOur team has a vision to enable Prime Science to be adopted WW across Amazon so as to drive the best possible customer experience. We set and raise engineering excellence standards in Amazon for science-based products. We are a unique team as we sit at the intersection of building engineering systems at Amazon scale and availability, incorporating the latest science (econometrics, ML, AI etc...), and delivering cross-cutting applications to delight over 200 million customers. Building and our science products at-scale and in real-time, creates interesting new data engineering challenges. These give a person in this role a head start in solving artificial intelligence challenges that will be ubiquitous 3-5 years from now.We are open to hiring candidates to work out of one of the following locations:Arlington, VA, USA | Seattle, WA, USABASIC 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.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/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. Applicants should apply via our internal or external career site.

DESCRIPTIONParagon Case Management Insights (PCMI) Data Platform team’s mission is to empower Selling Partner (SP) Support Operations, SP Support Experience & Root-cause teams and Case Management tenants to make data driven decisions and derive insights.As a Data Engineer, We have an immediate need for creative and driven Engineer who have a passion for building systems that have a measurable impact. The right candidate will be innovative and technically versatile and help build metrics for business and operational performance to be used on daily basis. You will work on enabling the launch of Data Lakehouse using NAWS architecture as a new data-warehousing solution designed to optimize ELT for analytics platform, real time streaming and global catalog for the data lake. Build data pipelines framework using CDK constructs and CICD automated packages to reduce operational overhead and increase development velocity for data engineering.Key job responsibilities* Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) * Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security.* Develop new data models and end to data pipelines.* Lead design reviews for other Data Engineers on the team and actively participate in design reviews.We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USABASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelinesPREFERRED 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.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/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. Applicants should apply via our internal or external career site.

DESCRIPTIONThe Amazon Search Mission Understanding team is on a mission to ensure a successful and delightful shopping journey for the shoppers on Amazon search page. We drive deep understanding of our shoppers by focusing on their shopping mission and preferences, delivering scalable and responsive solutions to help fulfill the shopping mission in an efficient way, and build experiences that gain customer trust. We build signals for other teams to consume, and work together on applications to reflect our understanding of the search missions. We carefully monitor and improve the shopper experience and make careful evaluations between long-term and short-term business trade-offs.This role requires a pragmatic problem solver comfortable with ambiguity, with deep expertise in building and maintaining the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data storage principles, and recent advances in distributed systems. A candidate will need to leverage a wide range of skills and best practices including an emphasis on data collection, storage, processing and reporting at scale for customer-facing applications and business reporting. Additionally, we are seeking candidates with determination and rigor in engineering, deep curiosity and interest for applied sciences, creativity, and sound logic and reasoning.The Search Mission Understanding team consists of entrepreneurial machine learning scientists and engineers who are responsible for developing core ML models and model development pipelines. At Amazon Search, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN), one of the world's leading internet companies. We provide a highly customer-centric, team-oriented environment in our offices located in both Seattle, WA and Palo Alto, CA.Key job responsibilitiesIn this role you will leverage your engineering background and expertise to help build the next generation of our mission understanding models and data collection framework. On a day-to-day basis, you will:* Interface with Product Managers, Data/Applied Scientists, Software Engineers and Program Managers to determine requirements for data pipeline, storage, processing and reporting.* Build scalable and production-ready data pipelines to extract features from petabytes of raw data.* Manage data refreshes and perform systematic quality data checks at scale.* Create metrics reports and dashboards to support business reporting, metrics deep dive, customer behavior analysis and feature engineering for ML applications.* Design data sharing strategy, define data schema and develop tools to enable more efficient data sharing with partner teams.* Serve as a tech lead of data engineering and manage cross-functional data related initiatives and collaborations.* Serve as a liaison to our customer/seller-facing partner teams in case of escalations.We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USABASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practicesPREFERRED QUALIFICATIONS- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience operating large data warehousesAmazon 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.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $123,700/year in our lowest geographic market up to $240,500/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. Applicants should apply via our internal or external career site.

DESCRIPTIONWe need a Data Engineer! Prime Global Finance enjoys a unique vantage point into everything happening within Amazon. This role will be part of a team that is responsible for managing the data architecture and generating data insights across two of the most impactful and high visibility areas within Amazon: Prime and customer engagement.The Data Engineer will partner with teams across finance, marketing, research etc. to design and develop the organization's data architecture and processes to enable Business Intelligence Engineers and analysts drive analysis and insights of the business for senior leadership across the entire Prime and Lifecycle Engagement organizations. You will push traditionally accepted process boundaries and work to automate scalable solutions leveraging AWS and BI tools including but not limited to Redshift, Lambda, EMR, etc.The data flowing through our platform directly contributes to decision-making by WW Prime and Lifecycle Engagement leaders at all levels of organizational leadership. If you’re passionate about building tools that enhance productivity, drive decision making, and operate at a scale that is unique even within Amazon, you're looking at the right posting!Come innovate with Prime Finance tech team!Key job responsibilities· Working with stakeholders and other engineering teams to identify and scope the right data architecture and technology to be used to facilitate analysis of most common Amazon customer behavioral questions.· Partnering with engineering teams to enhance data infrastructure, data availability, and broad access to customer insights made available through BI tools across the organization.· Design, build and implement the right ETL processes using AWS and similar technologies.· Implement anomaly detection systems to have a proactive approach to any potential data quality issues, using industry standard frameworks.· Enable large scale analytics using EMR and other big data technologies.· Establishing and implementing technology best practices that should be followed across the organization.· Work on proof of concepts for adoption of new technology and tools.We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USA | Sunnyvale, CA, USABASIC QUALIFICATIONS- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Knowledge of distributed systems as it pertains to data storage and computing- 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- Experience mentoring team members on best practicesPREFERRED QUALIFICATIONS- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent- 3+ years of data engineering, database engineering, business intelligence or business analytics experience- Experience operating large data warehouses- Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy.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.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $123,700/year in our lowest geographic market up to $240,500/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. Applicants should apply via our internal or external career site.

DESCRIPTIONOver the past 20 years, Amazon has reinvented on behalf of the consumer and has become one of the largest internet retailers in the world. Amazon is now reinventing on behalf of the business customer and is building the most innovative Business-to-Business (B2B) online store in the world. Our B2B customers have different needs than the traditional Amazon customer so we are reinventing everything from how we display our selection, price our products, and provide business friendly credit solutions. We are building scalable systems that make data-driven credit decisions and manage our risk. We are looking for a talented and passionate data professional that can develop a reliable, scalable, and analytic infrastructure to drive customer acquisition and track portfolio performance as we expand into new countries and customer segments. A successful candidate will be innovative, technically versatile and be able to interact with customers to gather requirements and deliver the right set of data to support business growth.We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USABASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelinesPREFERRED 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)- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceAmazon 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.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/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. Applicants should apply via our internal or external career site.

DESCRIPTIONWe are calling on engineers who wants to contribute to a sustainable future through technology. Join us in developing solutions for renewable energy portfolio and reduce carbon footprint of our materials in data centers. In 2019, Amazon co-founded The Climate Pledge and made a commitment to achieve net-zero carbon by 2040 —10 years ahead of the Paris Agreement. We invited others to join us and there are now more than 300 businesses and organizations across 51 industries and 29 countries that have signed the Pledge, which means we are collectively coming at the climate crisis from nearly every sector and nearly every angle.As part of our efforts to decarbonize our business, we became the world’s largest corporate purchaser of renewable energy in 2020, and last year, we reached 85% renewable energy across our business, and are on a path to power our operations with 100% renewable energy by 2025.We recently announced that AWS will be water positive by 2030, returning more water to communities than it uses in its direct operations. To learn more about AWS’s water+ commitment visit: Water Stewardship.Come join the team that is building the tools and innovative technology to manage our growing portfolio of renewable energy investments, including solar, on-shore and off-shore wind farms.Key job responsibilitiesOur Data Engineers develop large data models for clients in energy, renewable resources, sustainability, and water sectors, enabling them to assess their portfolios. They help our data scientists create predictive models to enhance decision-making. A day in the lifeTo learn more, you can visit: amazon sustainability in the cloudWe are open to hiring candidates to work out of one of the following locations:Seattle, WA, USABASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelinesPREFERRED 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.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/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. Applicants should apply via our internal or external career site.