AI Data Engineer

Remote • Posted 4 hours ago • Updated 4 hours ago
Contract Independent
6 Months
No Travel Required
Able to Sponsor
Remote
$70 - $100/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon S3
  • Amazon Redshift
  • Amazon SQS
  • Amazon Web Services
  • Data Visualization
  • Collaboration

Summary

Job Title: AI Data Engineer

Duration: 6 Months + Extension

Bill Rate: $72/hour

Job Type: C2C/1099 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD & -EAD

Job Summary:

We are seeking a highly skilled AI Data Engineer to design, develop, and optimize scalable data pipelines, implement AI-driven data solutions, and enhance analytics capabilities using modern AWS and ML technologies. The ideal candidate will possess strong expertise in AWS cloud data engineering, Python automation, and hands-on experience with AI/LLM frameworks.

Key Responsibilities:

  • Design, build, and maintain data pipelines and ETL workflows using AWS services (Glue, Lambda, EMR, S3, SNS, SQS, Redshift, CloudWatch).
  • Develop and optimize complex SQL queries across databases like Oracle, MySQL, and PostgreSQL.
  • Integrate and manage Salesforce platform data for analytics and reporting.
  • Create and maintain Python scripts for data ingestion, transformation, and process automation.
  • Support and troubleshoot Tableau dashboards for business insights and data visualization.
  • Develop automation scripts to streamline data engineering workflows and improve efficiency.
  • Collaborate with cross-functional teams to support AI and LLM initiatives using AWS Bedrock and other ML tools.
  • Implement and manage data quality, governance, and monitoring practices across cloud environments.

Core Technical Skills:

  • Strong experience with AWS Services: Lambda, Glue, S3, EMR, SNS, SQS, CloudWatch, Redshift, Bedrock
  • Proficiency in SQL with Oracle, MySQL, and PostgreSQL
  • Experience with Salesforce data models and objects
  • Hands-on Python scripting for automation and data engineering
  • Experience supporting and maintaining Tableau dashboards
  • Knowledge of data pipeline orchestration, automation, and error handling

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: 91099737
  • Position Id: 81233SJ
  • Posted 4 hours ago
Contact the job poster
AS

Ananya Sharma

Recruiter @ QUANTUM TECHNOLOGIES LLC
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