Enterprise Data Engineer & Architect w/ AWS- REMOTE

Simple Solutions; Missouri; Hybrid; USD 140,000 - 200,000; Part time

Job summary

Simple Solutions is seeking an Enterprise Data Engineer & Architect to join our Enterprise Data Optimization initiative. This remote, CST-hours role focuses on balancing engineering and architecture tasks over a 3-month window, with potential extension or conversion to full-time.

Ideal candidates bring 10+ years in data engineering/architecture, strong AWS, Terraform, Kubernetes, Python, and SQL skills, and the ability to build Kubernetes environments independently without Glue.

Qualifications

• 10+ years of experience in data engineering/architecture.
• Proven versatility as a jack of all trades in Enterprise data engineering.
• Proficiency with AWS, Terraform, Kubernetes, Python, and SQL.

Responsibilities

• Collaborate with architects to split responsibilities evenly between engineering and architecture.
• Hands-on coding in Python and SQL to optimize data structures and APIs.
• Develop solutions to achieve data retrieval speeds 10x faster than current capabilities.
• Coordinate with diverse teams to ensure seamless data access and integration.
• Provide thought leadership within the Enterprise Data Optimization space.

Skills

AWS

Terraform

Kubernetes

Python

SQL

Job description

Jacksonville, United States | Posted on 10/29/2025

Enterprise Data Engineer & Architect with AWS - REMOTE

conversion to FTE after 6 months -

Location: Remote (Must support CST hours, Stifel is based in St. Louis)

Duration: 3 months with a high likelihood of extension, and possibility of conversion to FTE

Overview:

Client is seeking a highly skilled Enterprise Data Architect to join our ongoing Enterprise Data Optimization (EDO) initiative. This project, which has been in development for two years, aims to enhance our data structuring capabilities and significantly improve data retrieval speeds across the organization. We are looking for a versatile, senior-level professional with a strong background in Enterprise data engineering and architecture to join our team. The breakdown of the work will be 50/50 between Engineering and Architecture.

Key Responsibilities:

• Collaborate with existing architects to split responsibilities equally between engineering and architecture.
  
• Engage in hands‑on work, including coding in Python and SQL, to optimize data structures and API services.
  
• Develop and implement solutions to enable data retrieval speeds that are 10 times faster than current capabilities.
  
• Work closely with various teams to ensure seamless data access and integration across the organization.
  
• Provide thought leadership within the EDO space and act as a true consultant for best practices
  

Qualifications:

• Minimum of 10+ years of experience in Data Engineering/Architecture.
  
• Proven expertise as a “jack of all trades” in Enterprise Data Engineering.
  
• Proficiency in AWS, Terraform, Kubernetes, Python, and SQL.
  
• Experience in implementing and automating Kubernetes, with the ability to build Kubernetes environments independently without using Glue.
  
• Extensive experience with AWS services, including S3, Redshift, Aurora Postgres, Glue, Lambda, Step Functions, Lake Formation, and Kinesis.