Database Developer

Location: Lone Tree, CO Salary: $63.00 USD Hourly - $68.00 USD Hourly Description: Our client is currently seeking a Data Engineer/ Database Developer

Location: Lone Tree, CO (4 days a week onsite)

Duration: 3 months with possibility of extension

Pay Range: $65-$68/hr

About the job

The Intelligent Planning and Analytics team is seeking a hands-on Data Engineer (Contract) to develop modern data products and AI-enabled analytics capabilities. This position requires you to be onsite four days a week in Lone Tree. The primary focus of this role is designing and building Answer Engine Optimization (AEO) data marts and supporting data pipelines within Google Cloud Platform. Additionally, you will maintain the team's existing digital marketing data mart to support business intelligence. You will combine strong data engineering fundamentals with practical cloud experience to build scalable technical solutions, create robust documentation, and share reusable practices with the broader analytics organization.

Responsibilities

Design and build scalable AEO data marts and automated API ingestion pipelines in Google Cloud Platform using Python and complex SQL.

Maintain, troubleshoot, and enhance the existing digital marketing data mart, optimizing data models containing clickstream and web-traffic data.

Partner with internal technology and security teams to prepare data pipelines for production, ensuring solutions align with enterprise technical standards.

Create comprehensive technical documentation detailing solution architecture, data flows, business rules, and API integrations to support downstream BI and AI applications.

Minimum qualifications

Professional experience in data engineering, analytics engineering, or software engineering.

Advanced proficiency in SQL (writing complex queries from scratch) and Python for API integration, automation, and data transformation.

Hands-on experience designing data pipelines, integrating third-party REST APIs, and building analytical data models in Google Cloud Platform (Google Cloud Platform).

Experience with data-quality testing, source control, and collaborating with cross-functional architecture and production-support teams.

Preferred qualifications

Experience building data products for Answer Engine Optimization (AEO), search analytics, or digital visibility, including integrating AI agents into production.

Familiarity with digital marketing data (e.g., Adobe Analytics, clickstream) and integrating behavioral data with core business information.

Knowledge of modern analytics technologies (dbt, dlt, DuckDB), AI capabilities (LLMs, RAG, vector search), and BI platforms (Tableau, Looker, Power BI).

Previous experience in a highly regulated industry using DevOps practices, CI/CD pipelines, and AI-assisted development tools (e.g., GitHub Copilot).

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Contact

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