Data Integration Engineer

Overview As a Data Integration Engineer, you design, build, and maintain data pipelines that support analytics, reporting, and operational needs. You will work within the Data Science team to enable data sharing and governance across enterprise systems. You’ll tackle data mapping, transformation, quality validation, and ingestion in modern cloud architectures. Collaborating with governance, metadata, and security teams, you will implement lineage, tagging, and classification within ingestion workflows. This role offers the chance to shape scalable data platforms and improve data-driven decision making across the organization. Compensation / BenefitsSalary range: $160-185K ResponsibilitiesDesign and build ETL/ELT data pipelinesDevelop APIs and data integration servicesPerform data mapping and transformation activitiesImplement automated data ingestion processesMonitor and optimize data processing performanceSupport cloud-based data architecturesDocument data lineage and integration workflowsCollaborate with governance teams to ensure compliance standards are met Key requirementsPythonSQLETL/ELT DevelopmentAPI DevelopmentAzure Data FactoryDatabricksData ModelingCloud Data PlatformsData Validation and TestingPythonSQLETL/ELT DevelopmentAPI DevelopmentAzure Data FactoryDatabricks