IT - Database Developer - Mid-Level

IT - Database Developer - Mid-LevelWe 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. Required Qualifications 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. Preferred Qualifications 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.