Data & AI Engineer
Full Time
On-site
Thinking Minds Inc.
Fitment
Dice Job Match Score™
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Job Details
Skills
- Reporting
- Decision-making
- Data Warehouse
- Data Management
- Sourcing
- FP&A
- Marketing
- Management
- Data Quality
- Collaboration
- Artificial Intelligence
- Amazon Redshift
- Extract
- Transform
- Load
- Amazon Web Services
- Data Modeling
- Performance Tuning
- Cost Management
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
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 14 hours ago
Company Info
About Thinking Minds Inc.
At Thinking Minds, we are committed to providing our clients with the highest quality services. We believe that our success is measured by the success of our clients, and we strive to build long-term relationships based on trust, transparency, and mutual respect.
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