Data Engineer

This position supports a large-scale enterprise data modernization effort focused on improving the reliability, structure, and usability of mission-critical data. The Senior Data Engineer is responsible for building and maintaining scalable data pipelines, enforcing data quality, and implementing transformation logic that enables trusted analytics and reporting across the organization. This role is execution-focused and works closely with analytics, platform, and domain stakeholders to ensure data is production-ready, performant, and aligned to target architectures., Design, build, and maintain robust data pipelines and ingestion workflows Implement transformation logic, mappings, and business rules across raw, curated, and analytics-ready layers Enforce data quality, validation, lineage, and consistency across the data lifecycle Support modernization initiatives aligned with current-state frameworks and future-state architectures Optimize database structures, queries, and access patterns for performance and scalability Prepare curated datasets to support downstream analytics, dashboards, and reporting tools Apply financial and planning domain context where required to ensure transformations preserve accuracy and compliance Collaborate closely with analytics, platform, and architecture teams to operationalize data solutions

Proven experience building ETL processes and enterprise-scale data pipelines Intermediate proficiency in Python for data processing and pipeline development Strong SQL skills for data analysis, transformation, and performance tuning Experience working with modern data platforms; Databricks preferred Familiarity with financial, budget, or planning data domains is a strong plus Experience supporting cloud-native data architectures; containerized services a plus