Summary

Job Summary

Location: United States

Experience: 5+ years in production AI/data systems

Job Type: Permanent

Thinking Minds' client is looking for an experienced Data & AI Engineer to own the data infrastructure that powers reporting and decision-making across their portfolio. This role is crucial for building and maintaining the AWS Redshift data warehouse and the AI layer on top of it. The engineer will work closely with various departments to deliver data-driven solutions, ensuring robust and efficient data management.

Ideal Candidate Should Have

AWS Redshift experience

ETL pipelines expertise

Strong data modeling skills

Experience with AWS Glue, Lambda, or Airflow

Ability to manage data quality and performance

Role Overview

The Data & AI Engineer will be responsible for the end-to-end management of the data stack, from sourcing APIs to delivering AI-driven insights. The role involves designing efficient schemas, maintaining ETL processes, and ensuring data quality and performance. Collaboration with FP&A, Operations, and Marketing is key to understanding data needs and building effective solutions.

Key Responsibilities

Design, build, and maintain the AWS Redshift environment

Develop and manage ETL pipelines

Ensure data quality and build automated validation

Optimize Redshift performance and cost

Collaborate with stakeholders to understand data requirements

Build AI-driven experiences

Top Skills and Modules

AWS Redshift

ETL pipelines

AWS Glue, Lambda, Airflow

Data modeling and schema design

Performance tuning and cost management

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

• Dice Id: 10109241
• Position Id: 85734
• Posted 4 days ago
• m