Data Engineer II, AWS Commerce Platform-ADC

Amazon • Jessup, MD

14h

About The Position

The US ADC Commerce Platform team is looking for a Data Engineer to join us in
building, owning, and operating massively scalable solutions in support of the
U.S. Intelligence Community.

In this role you will join a team of highly talented engineers developing and
maintaining Amazon’s billing systems in air-gapped cloud environments as well as
services and tooling to improve how we operate these services. This role enables
you to deliver impact at scale, and the work you do unlocks the latest in
billing and cost management capabilities for all of our U.S. ADC customers.

A successful Data Engineer is passionate about using data science to answer
questions on behalf of customers, optimizes system workflows and identifies
other operational efficiencies, plus implements audit and safety controls to
ensure availability, reliability, and accuracy.

This position requires that the candidate selected must currently possess and
maintain an active TS/SCI with polygraph security clearance. The position
further requires that, after start, the selected candidate obtain and maintain
an active TS/SCI security clearance with polygraph or commensurate clearance for
each government agency for which they perform AWS work.

Requirements

• 3+ years of data engineering experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
• Experience with data modeling, warehousing and building ETL pipelines
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling or OLAP technologies experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle or SQL experience
• Current, active US Government Security Clearance of TS/SCI with Polygraph

Nice To Haves

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Responsibilities

• Collaboration and Product Development: Interact with business and software teams to understand their requirements and operational processes, to inform design
• Data Modeling and Architecture: Develop robust data models and architectures that support the organization's data-driven initiatives, ensuring data quality, consistency, and accessibility.
• Data Pipelines: Maintain existing data sources and integrations while supporting migrations, ingestion, transforms, and new performance/scaling requirements
• Scalability and Performance: Design and implement scalable data solutions that can handle increasing data volumes and support high-performance data access and querying.
• Documentation & Continuous Improvement: Create, enhance, and maintain technical documentation

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed