Data Engineer

Experis

Lone Tree, CO, United States

5 days ago

Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Compensation

$108,160.0

Working hours

Regular working hours

Job source

www.experis.com

Tech stack

Artificial Intelligence Data Analysis User Authentication Cloud Database Databases Information Engineering Data Mart Data Mining Data Systems Document-Oriented Databases Python (Programming Language) Software Tools

+8 more

Cloud Services Software Deployment Data Logging Freeform SQL Google Cloud 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.