Data Engineer
Apex Systems Inc
IT - Database Developer - Mid-Level
Location: Lone Tree, Colorado (Onsite) Role Overview We are 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 a cloud environment. The role will also help maintain an existing digital marketing data mart that supports business intelligence and analytics. Key Responsibilities- Design and build scalable AEO data marts and automated data pipelines in Google Cloud Platform (GCP).
- Develop reusable API integrations, extraction processes, and data-transformation components using Python.
- Write complex SQL from scratch to transform, integrate, validate, and prepare AEO data.
- Integrate AEO vendor data with relevant digital marketing and core business datasets.
- Maintain, troubleshoot, and enhance an existing digital marketing data mart.
- Support data models containing clickstream and web-traffic data integrated with core business information.
- Establish data-quality checks, reconciliation processes, and monitoring.
- Create clear technical documentation for data marts, pipelines, and analytical datasets.
- Collaborate with technology, security, architecture, and production-support teams.
- Professional experience in data engineering, analytics engineering, software engineering, or a related technical field.
- Advanced SQL skills, with the ability to write complex SQL from scratch.
- Proficiency in Python for API integration, data extraction, automation, and transformation.
- Hands-on experience designing and building data pipelines and analytical data models.
- Experience integrating data from REST APIs or other third-party interfaces.
- Hands-on experience with Google Cloud Platform and cloud-based data services.
- Experience building data marts or other curated analytical data products.
- Knowledge of dimensional modeling, data grain, and transformation logic.
- Experience with data-quality testing, validation, logging, and monitoring.
- Familiarity with source control and collaborative development practices.
- Strong technical documentation and communication skills.
- Experience building data products for Answer Engine Optimization, search analytics, or content intelligence.
- Experience working with third-party marketing or analytics vendor APIs.
- Experience with clickstream data, web-traffic data, or other event-level digital behavioral data.
- Experience integrating digital marketing data with client, account, product, or campaign information.
- Experience with modern analytics-engineering technologies, including dbt, dlt, and DuckDB.
- Working knowledge of modern AI capabilities, such as LLM-based applications and retrieval-augmented generation.
- Experience with business intelligence platforms such as Tableau, Looker, or Power BI.
- Familiarity with GitHub, pull requests, CI/CD, and DevOps practices.
- Experience using Jira or a similar work-management platform.
- Previous experience in financial services or another regulated industry.
Vacancy posted 2 days ago
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