Data Engineer​/Architect, WWPS ProServe Data and Machine Learning

Job Overview

Are you a Data Engineering and Architecture specialist? Do you have experience designing and building Data Lakes, Data Warehouses, and scalable data platforms in the cloud? Do you want to help Public Sector customers deploy mission‑critical data and ML solutions at scale? Are you detail‑oriented, creative, and collaborative? Then this is the position for you.

This is a customer‑facing Delivery Consultant role specializing in Data Engineering & Architecture, providing technical design and thought leadership for cloud data applications. You will collaborate with federal, state, local government, and national security customers, designing, building, and optimizing data architectures that support mission‑critical decision‑making.

Required qualifications include US citizenship and an active Top Secret security clearance. The role is not remote. Travel to client sites may be required.

• Clarify customer business outcomes during project discovery and translate them into data architecture and engineering solutions.
• Design and build data analytics applications that are secure, scalable, reliable, performant, and cost‑effective.
• Collaborate with stakeholders to gather requirements, assess current infrastructure, and propose effective data migration and modernization strategies.
• Identify, mitigate, and communicate risks related to solution and service constraints, making informed technical trade‑offs.
• Act as a trusted advisor to customers on industry trends, emerging data technologies, and innovative solutions.
• Share knowledge within the organization through mentoring, training, and creating reusable artifacts.

• Bachelor’s degree in business administration, finance, economics, computer science, data science, engineering, or a related field.
• 3+ years of database experience (SQL, No
  
  SQL, Hadoop, Spark, Kafka, Kinesis).
• Experience with SQL, Python, schema definition, and software engineering best practices including secure, testable, and maintainable code.
• Knowledge of distributed systems, data integration techniques (ETL vs. federation), database optimization (partitioning, indexing), and relational database performance tuning.
• Current, active US Government Security Clearance of Top Secret or above.

• Experience building data platforms with AWS services such as Glue, Lake Formation, Athena, Kinesis, and Lambda.
• Experience with CI/CD automation (CDK or Terraform), physical data modeling (Dimensional, Data Vault), and data pipeline optimization.
• Experience leading end-to‑end data engineering projects, including migrating on‑premises data applications to cloud‑native architectures.
• Experience interfacing with customers at multiple organizational levels to translate requirements into scalable data architectures.
• Knowledge of security and compliance standards (e.g., FedRAMP, NIST, HIPAA).

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. The company also offers an accessible hiring process for applicants with disabilities.

USA, VA, Arlington –  –  USD annually

USA, VA, Herndon –  –  USD annually