Sr. Data Engineer, Kuiper Global Service Compliance

We are seeking an exceptional Data Engineer to join the Global Service Compliance (GSC) team supporting Amazon’s Project Kuiper. Amazon’s Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world.

We are looking for an enthusiastic data engineer who is out of this world excited about technology, data security, enjoys being continually challenged, and demonstrates sound judgment even in ambiguous situations.

Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.


Key job responsibilities
Collaborating with GSC to accomplish building a secure and connected data infrastructure to help meet the data and reporting needs to report out to regulators world wide. As a data engineer you will be working closely with internal GSC teams to fit the various needs that reporting infrastructure will need to support across different verticals of the team to be able to build automated and dynamic reports that will support the team on a global level.

You’ll be working to design and build high-performance solutions that operate at a global scale. Your responsibilities will include working with stakeholders to build systems and pipelines to help support automated and manual reporting that are essential to Kuiper. You’ll participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance. As a senior level position you’ll help to support mentorship of best practices and guiding principals as the team continues to grow and build infrastructure.

* Design, implement and maintain data infrastructure including data modeling, ETL pipelines, and ongoing maintenance. Using AWS big data stack, Python, Redshift, Quicksight, Glue/lake formation, EMR/Spark/Scala, Athena etc.
* Partner with various teams to build data pipelines from a wide variety of sources using AWS big data technologies (Lake Formation, Glue, S3, Redshift, Lambda, etc.).
* Build a data dictionary, catalog and governance plan and manage and audit all of the registered data via mechanisms.
* Develop automated solutions to minimize manual processes with focus on efficiency and scalability.
* Clearly communicate deep technical topics to customers.

This position may be based in Bellevue, WA, or Arlington, VA. Some travel, domestic and international, may be required.

About the team
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. Amazon has ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

At Amazon, our mission is to be the most customer-centric company on Earth. To get there, we need exceptionally talented, bright and driven people. We're dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.

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
- 5+ years experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

Preferred Qualifications

- Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy
- 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
- Ideal candidate would have one or more of the following certifications:
- 1. AWS Certified SysOps Administrator Assoc.
- 2. AWS Certified Developer Assoc.
- 3. AWS Certified Solutions Architect Assoc.
- 4. AWS Certified Data Engineer Assoc.
- 5. AWS Certified Machine Learning Engineer Assoc.

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.

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. 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.