Lead Data Engineer

This is a high-impact opportunity to help design and scale a modern, cloud-native data platform with a strong emphasis on AI/LLM-powered data products. You'll play a key role in owning architecture and delivery end-to-end, while balancing hands-on development with technical leadership and mentorship. This is an ideal role for engineers who enjoy building scalable systems and influencing platform direction. Key Responsibilities

• Design and build scalable data pipelines and architectures
• Develop and support cloud-native data platforms on AWS
• Contribute to AI/LLM-driven data applications and workflows
• Collaborate across teams to deliver end-to-end data solutions
• Drive best practices in DevOps, CI/CD, and infrastructure automation
  
  

Core Requirements

• Strong experience with Python and SQL
• Proven track record building scalable data pipelines and systems
• Hands-on experience with AWS (infrastructure, CI/CD, observability)
• Experience with AI/LLM-enabled applications
• Experience with Snowflake or similar data platforms
• Background in DevOps, Docker, and CI/CD pipelines
• Solid knowledge of databases (Postgres, Aurora, etc.)
• Experience with Infrastructure as Code (CloudFormation, Pulumi, Terraform)
  
  

EOE Statement: Specialist Staffing Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. In addition to base pay, direct-hire employees may be eligible for client offered benefits such as medical, dental, and vision coverage, and paid leave where required by applicable law. Eligibility may vary based on factors such as location and hire date and is subject to change. To find out more about Huxley, please visit www.huxley.com