Data Engineer

Experis
Lone Tree, United States of America
3 days ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 108K

Job location

Lone Tree, United States of America

Tech stack

Artificial Intelligence
Data analysis
User Authentication
Cloud Database
Databases
Information Engineering
Data Mart
Data Mining
Data Systems
Document-Oriented Databases
Python
Software Tools
Cloud Services
Software Deployment
Data Logging
Freeform SQL
Google Cloud Platform
Data Ingestion
Sql Optimization
Data Pipelines

Job description

  • Design and develop scalable data marts and pipelines in Google Cloud Platform to support Answer Engine Optimization (AEO) initiatives.
  • Create automated data ingestion processes from third-party APIs, ensuring robust authentication, error handling, and logging.
  • Develop complex SQL queries to transform, validate, and integrate data from multiple sources for reporting and AI applications.
  • Partner with internal technology teams to prepare data pipelines and products for production deployment.
  • Document data architecture, workflows, and business rules to ensure maintainability and knowledge sharing across teams., * Opportunity to work on innovative data projects supporting AI-enabled analytics.
  • Collaborative environment with cross-functional teams and technology partners.
  • Chance to develop and enhance your skills in cloud data platforms and modern data engineering tools.
  • Engagement in a project with potential for extension beyond the initial contract period.
  • Supportive work environment that values diversity, inclusion, and professional growth.

Requirements

  • Professional experience in data engineering, analytics engineering, or related technical fields.
  • Advanced SQL skills with the ability to write complex queries from scratch.
  • Proficiency in Python for API integration, data extraction, and automation tasks.
  • Hands-on experience designing and building data pipelines and analytical data models.
  • Experience working with Google Cloud Platform and cloud-based data services.

Apply for this position