Amazon
Senior Data Engineer, AWS Energy Team
Amazon, Seattle, Washington, us, 98127
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
We are calling on engineers who want 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.
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.
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 Responsibilities
Our 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.
Minimum Qualifications
5+ years of data engineering experienceExperience with data modeling, warehousing and building ETL pipelinesExperience with SQLExperience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJSExperience with big data technologies such as: Hadoop, Hive, Spark, EMRExperience operating large data warehouses
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 $139,100/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
We are calling on engineers who want 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.
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.
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 Responsibilities
Our 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.
Minimum Qualifications
5+ years of data engineering experienceExperience with data modeling, warehousing and building ETL pipelinesExperience with SQLExperience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJSExperience with big data technologies such as: Hadoop, Hive, Spark, EMRExperience operating large data warehouses
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 $139,100/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr