Data Engineer:
On behalf of our technology client, Procom is searching for a Data Engineer for a contract role. This position is a hybrid position with 4 days onsite at our client's Lone Tree office.
Job Description:
The Intelligent Planning and Analytics team is seeking a hands-on Data Engineer to support the development of modern data products and AI-enabled analytics capabilities. The primary focus of this position is to design and build Answer Engine Optimization (AEO) data marts and supporting data pipelines in Google Cloud Platform.
Responsibilities:
Design and build scalable AEO data marts in Google Cloud Platform.
Develop automated pipelines that ingest data from third-party AEO vendor APIs.
Use Python to build reusable API integrations, extraction processes, and data-transformation components.
Write complex SQL to transform, integrate, validate, and prepare AEO data.
Maintain and enhance the digital marketing data mart for reporting and analytics.
Create well-structured analytical data models supporting reporting, analysis, and AI use cases.
Document source structures, business rules, data grain, refresh frequency, dependencies, and transformation logic.
Mandatory Skills:
Advanced SQL skills, including the ability to write complex SQL from scratch.
Proficiency in Python for API integration, data extraction, automation, and transformation.
Hands-on experience with Google Cloud Platform and cloud-based data services.
Experience designing and building data pipelines and analytical data models.
Experience integrating data from REST APIs or other third-party interfaces.
Strong technical documentation and communication skills.
Ability to work independently and manage priorities across multiple related initiatives.
Nice-to-Have Skills:
Experience building data products for Answer Engine Optimization or related areas.
Experience working with third-party marketing or analytics vendor APIs.
Experience with Adobe Analytics, clickstream data, or web-traffic data.
Experience developing AI agents from proof of concept into production.
Familiarity with GitHub, pull requests, code reviews, CI/CD, and DevOps practices.
Assignment Length:
This is a contract position.
Start Date:
ASAP.
Assignment Location:
Lone Tree, Colorado, United States. This position is hybrid with 4 days in office.
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: 10454504
- Position Id: cf91a5146d1a3433f982876860932b74
- Posted 3 hours ago
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