Data Engineer, Data Center Engineering, DCE Design Tech

As a Sr. Data Engineer, you will partner with key customers to understand their data and metrics reporting requirements, collaborate with engineering teams to source data from the systems they own, and build data pipelines and reporting solutions that harness that data. This is a high-visibility, high-accountability role working with customer teams across the DCE Design Engineering organization delivering and maintaining solutions used by directors, senior managers, and project leads. You will own the timely delivery and reliability of data used for business decision-making, and you will own the long-term strategy for the solutions you build. Your work will directly influence decision-making and strategy across our organization.

The ideal candidate has excellent analytical abilities, deep curiosity, and strong technical skills. They have a bias toward data-driven decision-making and a track record of building scalable data pipelines and systems that enable it. They are a self-starter — comfortable with ambiguity, able to think big and be creative, while exercising strong judgment and good instincts to be right a lot. They are motivated by delivering high-quality, innovative solutions within timeframes most think are impossible. If you are excited about using data to look around corners and drive the engineering solutions that underpin AWS data centers, this role is for you.

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.

Key job responsibilities
- Partner with key customers to understand their data and metrics reporting requirements
- Collaborate with engineering teams to source data from systems they own, and build our team-owned data stores when needed
- Design and build data pipelines and reporting solutions that harness that data
- Own delivery and reliability — ensuring quality data and reports reach customers on time and can be trusted for business decision-making

About the team
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Hands-on experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
- Proficiency in SQL and Data Analysis

Preferred Qualifications

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 154,600.00 - 209,100.00 USD annually