Data Engineer GCP

Overview We are seeking a Data Engineer to join a Specialty Care Partnerships team that provides data services and analytics support to external healthcare partners. This team recently completed a major modernization initiative, migrating from a legacy on-premises SQL environment to a cloud-based GCP platform. The ideal candidate is a strong analytical problem solver who can work closely with business stakeholders, translate complex requirements into technical solutions, and clearly communicate technical concepts to non-technical audiences. This role is heavily focused on data analysis, data engineering, and business-facing collaboration within a fast-paced Agile environment. Key Responsibilities * Analyze complex business requirements and translate them into scalable data solutions. * Design, develop, and maintain data pipelines using Python, SQL, BigQuery, and Google Cloud Platform (GCP) technologies. * Create and modify business logic using Python-based data processing frameworks. * Develop and support data workflows orchestrated through Airflow Composer. * Work with enterprise datasets stored within GCP Enterprise Data Platform (EDP) environments. * Consume and integrate data from multiple source systems, including payer data and Epic datasets. * Validate and reconcile data against legacy SQL Server environments during migration and modernization initiatives. * Partner directly with business stakeholders to understand reporting, analytics, and operational data needs. * Document business requirements, data logic, transformations, and technical solutions. * Troubleshoot data quality, transformation, and pipeline issues across cloud and legacy environments. * Collaborate within an Agile sprint model, managing work through GitHub and leveraging AI-assisted development tools such as Claude. * Communicate findings, technical recommendations, and project updates effectively to both technical and non-technical audiences.

• 5-7+ years of experience in Data Engineering, Analytics Engineering, or a related field. * Advanced SQL development and data analysis experience. * Strong Python programming skills for data transformation, business logic development, and automation. * Experience with Google BigQuery. * Experience working within Google Cloud Platform (GCP). * Experience developing and maintaining Airflow Composer workflows. * Experience working with APIs and Kafka-based data integrations. * Knowledge of Google Cloud Storage (GCS). * Experience working within GitHub and version-controlled development environments. * Strong understanding of data validation, data reconciliation, and troubleshooting techniques. * Ability to navigate and work within SQL Server environments, including reviewing and validating legacy code. * Exceptional communication and documentation skills with the ability to explain technical concepts to business users. Strong analytical and problem-solving abilities. * Experience with Databricks (not required but a plus). * Experience supporting large-scale cloud modernization or migration initiatives. * Familiarity with enterprise data platform architectures. * Experience working with AI-assisted development tools. * Healthcare industry experience is not required.