Public Sector Data & ML Delivery Consultant

Amazon Inc.

Arlington (VA)

On-site

USD 131,000 - 178,000

Full time

5 days ago
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Benefits offered by this job

Health insurance
RSUs
Sign-on bonus

Job summary

Amazon is seeking a Delivery Consultant specializing in Data Engineering & Architecture to design, build, and optimize data platforms for federal and national security clients. You will work from an Arlington, VA area site and travel to client locations as needed, delivering cloud-based data solutions with AWS services.

The role requires a US citizenship and an active Top Secret clearance. You will guide customers on data technology trends, mentor teammates, and contribute to secure, scalable

Qualifications

  • Bachelor's degree in a related field such as CS, data science, or engineering
  • 3+ years of database experience (SQL/NoSQL, Hadoop, Spark, Kafka, Kinesis)
  • Experience with SQL, Python, data schema definition, and secure, maintainable code
  • Understanding of distributed systems and data integration (ETL/federation)
  • Active Top Secret US security clearance

Responsibilities

  • Clarify customer outcomes and translate them into scalable data architectures
  • Design and build scalable, secure data analytics apps on AWS
  • Collaborate with stakeholders to gather requirements and plan migrations
  • Identify risks and trade-offs to optimize solutions
  • Mentor peers and share reusable artifacts

Skills

Data engineering
Cloud data architectures
AWS services
SQL
Python

Education

Bachelor's degree

Tools

Glue
Lake Formation
Athena
Kinesis
Lambda
CDK
Terraform

Job description

Amazon is seeking a Delivery Consultant specializing in Data Engineering & Architecture to design, build, and optimize data platforms for federal and national security clients. You will work from an Arlington, VA area site and travel to client locations as needed, delivering cloud-based data solutions with AWS services.

The role requires a US citizenship and an active Top Secret clearance. You will guide customers on data technology trends, mentor teammates, and contribute to secure, scalable

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