Location:
Remote – Must work in the Phoenix time zone
Duration:
06 Months Contract to Hire
MasTek/ University of Phoenix
$55-58/hr
on W2
Job
Description:
We
are looking for an AWS-focused software and data engineer to build student
intelligence, predictive risk, personalization, knowledge retrieval, and AI
context services. The work centers on creating a reliable, longitudinal
understanding of a user and making that context seamlessly available to
downstream applications and AI experiences.
The
ideal candidate builds reusable, highly available production capabilities. This
role is not intended for a pure pipeline developer, a notebook-focused data
scientist, or an engineer centered only on experimentation.
What
You'll Do & Technical Expectations
Your
responsibilities and impact are aligned directly with our core engineering
priorities:
Python Engineering (Must-Have): Act as a core developer
using Python to build robust APIs, data processing pipelines, automation,
testing frameworks, ML/AI integrations, and production-grade services.
Infrastructure as Code (Must-Have): Maintain full
hands-on ownership of our AWS environments using Terraform, IAM,
networking, and CI/CD pipelines to create repeatable, governed, and
version-controlled infrastructure.
Data Modeling & Context Engineering (Priority 1):
Leverage DynamoDB, Aurora, Redshift, Neptune, and S3 to build longitudinal
user profiles, reconcile current vs. historical states, and support
behavioral profiles and memory.
Applied ML & Predictive Systems (Priority 2):
Productionize predictive risk models, reusable features, scoring,
explainability, and model monitoring utilizing SageMaker, Bedrock, Feature
Store, and Model Monitor.
Retrieval / RAG / Knowledge Systems (Priority 3):
Support grounded policy and knowledge retrieval with traceable source
material for AI experiences using Bedrock Knowledge Bases, OpenSearch, S3,
and Lambda.
Real-Time Data & Integration (Priority 4):
Transform behavioral and institutional events into updated profile and
context attributes in near real-time using MSK/Kafka, Kinesis,
EventBridge, Lambda, API Gateway, and Glue.
Production AI & Agent Engineering (Priority 5):
Deliver governed context to AI applications and autonomous agents with
observability, security, tool calling, and controlled access through
Bedrock Agents/Runtime, Lambda, ECS/EKS, CloudWatch, IAM, and Secrets
Manager.
Recruiter
Screening Guidance & Gates
Hard Screening Gates: Candidates must demonstrate
comprehensive production experience with Python + Terraform + AWS
event/data architecture. They must be able to independently make safe
infrastructure changes, not simply have basic exposure.
The Best Differentiator: Proven experience taking a
solution through the complete lifecycle:
data / events → profile or features → predictive or AI
context → production service
Strong Preference: Candidates who act as
force-multipliers by working fluidly across data, software,
infrastructure, and AI/ML, rather than specializing in only one
layer.
Information
Locations remotePosition Open to RemoteIndustry IT StaffingStatus OpenJob Age 6 Day'sCreated Date 09/15/2026No.of Positions 1Duration 6 months contact to hireZip Code
