GCP Data Engineer

Smart IMS Inc; Denver (CO); On-site; USD 55,000 - 110,000; Full time

Job summary

cyberThink is seeking a GCP Data Engineer to design and develop cloud-based data solutions for analytics, BI, and AI initiatives in Denver, CO. Onsite contract role focused on scalable data marts, automated pipelines, and data integration.

The role requires strong SQL, Python, and GCP expertise, plus experience with data modeling, quality controls, and documentation. Collaboration across analytics, engineering, and production teams is essential.

Qualifications

• Strong experience in Data Engineering, Analytics Engineering, or Software Engineering.
• Advanced SQL expertise to develop complex queries from scratch.
• Proficiency in Python for API development, automation, data integration, and transformation.
• Hands‑on experience building data pipelines, ETL processes, and analytical data models.
• Experience integrating data from REST APIs and third‑party platforms.
• Strong experience with Google Cloud Platform and cloud‑based data services.
• Knowledge of dimensional modeling, data warehousing, data grain, and reusable analytical datasets.
• Experience implementing data quality controls, monitoring, exception handling, and validation processes.
• Experience with source control, collaborative development practices, and technical documentation.

Responsibilities

• Design scalable data marts and analytical data products in Google Cloud Platform.
• Build automated data pipelines integrating third-party APIs and enterprise data sources.
• Develop Python-based solutions for data extraction, transformation, and API integrations.
• Write and optimize complex SQL queries for data transformation and analytics.
• Integrate marketing, business, and external data sources into unified reporting models.
• Implement data quality, monitoring, validation, logging, and reconciliation processes.
• Maintain and enhance existing marketing and analytics data marts.
• Create data models supporting reporting, BI, analytics, and AI use cases.
• Develop technical documentation covering data flows, architecture, and business rules.
• Collaborate with analytics, engineering, architecture, and production support teams to deploy and maintain solutions.

Skills

Data Engineering

SQL

Python

ETL pipelines

API integration

GCP

Data modeling

Data quality

Documentation

Git/Jira

Tools

dbt

dlt

DuckDB

Adobe Analytics

Tableau

Looker

Power BI

GitHub

Jira

Job description

Job Title: GCP Data Engineer

Duration (Contract): 4 Months

Client Location: Denver, CO

Location Preference: Onsite

Job Description

As a GCP Data Engineer, you will design and develop cloud-based data solutions that support analytics, business intelligence, and AI-driven initiatives. You will build scalable data marts, develop automated data pipelines, integrate third-party APIs, and maintain enterprise analytical datasets within the Google Cloud Platform ecosystem.

Key Responsibilities

• Design and develop scalable data marts and analytical data products in Google Cloud Platform.
• Build automated data pipelines integrating third-party APIs and enterprise data sources.
• Develop Python-based solutions for data extraction, transformation, automation, and API integrations.
• Write and optimize complex SQL queries for data transformation, validation, and analytics.
• Integrate digital marketing, business, and external data sources into unified reporting models.
• Implement data quality, monitoring, validation, logging, and reconciliation processes.
• Maintain and enhance existing marketing and analytics data marts.
• Create data models that support reporting, business intelligence, analytics, and AI use cases.
• Develop technical documentation covering data flows, architecture, business rules, and support procedures.
• Collaborate with analytics, engineering, architecture, and production support teams to deploy and maintain solutions.

Required Skills, Experiences, Education, and Competencies

• Strong experience in Data Engineering, Analytics Engineering, or Software Engineering roles.
• Advanced SQL expertise with the ability to develop complex queries from scratch.
• Proficiency in Python for API development, automation, data integration, and transformation.
• Hands‑on experience building data pipelines, ETL processes, and analytical data models.
• Experience integrating data from REST APIs and third‑party platforms.
• Strong experience with Google Cloud Platform and cloud‑based data services.
• Knowledge of dimensional modeling, data warehousing, data grain, and reusable analytical datasets.
• Experience implementing data quality controls, monitoring, exception handling, and validation processes.
• Experience with source control, collaborative development practices, and technical documentation.
• Experience with dbt, dlt, DuckDB, Adobe Analytics, AI/LLM‑powered solutions, BI tools (Tableau, Looker, Power BI), GitHub, Jira, and regulated industry environments preferred.

The hourly range for roles of this nature are $40.00 to $80.00/hr. Rates are heavily dependent on skills, experience, location, and industry.

cyberThink is an Equal Opportunity Employer.