Lead AI Data Engineer

Remote • Posted 22 days ago • Updated 22 days ago
Contract Independent
Contract W2
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

📊 Calculating match score...

Job Details

Skills

  • Lead AI Data Engineer
  • Python
  • SQL
  • AWS
  • ETL/ELT
  • RAG

Summary

Title: Lead AI Data Engineer

Education
• Bachelor’s degree in computer science or a related field.


Minimum Experience

  • Minimum 5 years of experience in building data driven solutions.
  •  At least 3 years of experience working with AWS services.
  • Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. U.S. FinTech does not offer H-1B sponsorship for this position.


Specialized Knowledge & Skills

 

  • Expertise in real-time data solutions, good-to-have knowledge of streams processing, Message Oriented Platforms and ETL/ELT Tools.
  • Strong scripting experience using Python and SQL.
  • Working knowledge of foundational AWS compute, storage, networking and IAM.
  • Understanding of Gen AI models, prompt engineering, RAG, fine tuning and pre-tuning will be a plus.
  • Solid scripting experience in AWS using Lambda functions.
  • Knowledge of CloudFormation template preferred.
  • Hands-on experience with popular cloud-based data warehouse platforms such as Redshift and Snowflake.
  • Experience in building data pipelines with related understanding of data ingestion, transformation of structured, semi-structured and unstructured data across cloud services.
  • Knowledge and understanding of data standards and principles to drive best practices around data management activities and solutions.
  • Experience with one or more data integration tools such as Attunity (Qlik), AWS Glue ETL, Talend, Kafka etc.
  • Strong understanding of data security – authorization, authentication, encryption, and network security.
  • Hands on experience in using and extending machine learning framework and libraries, e.g, scikit-learn, PyTorch, TensorFlow, XGBoost etc. preferred.
  • Experience with AWS SageMaker family of services or similar tools to develop machine learning models preferred.
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: 90973529
  • Position Id: 8880769
  • Posted 22 days ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Remote

25d ago

Easy Apply

Contract

Depends on Experience

Remote

15d ago

Easy Apply

Contract, Third Party

Depends on Experience

Remote

15d ago

Easy Apply

Contract

$60 - $70

Remote

12d ago

Easy Apply

Contract

$40 - $50

Search all similar jobs