Data Engineer

STAFFXPERT LLC is seeking a Data Engineer on behalf of our client in Newton, MA. This position is ideal for a hands-on professional with experience in data integration, data processing, and database development. The selected candidate will design and maintain data pipelines, transform and validate data from multiple sources, and support reliable data workflows that enable critical business applications and reporting initiatives. The role requires strong problem-solving abilities and close collaboration with both technical teams and business stakeholders. Key Responsibilities Data Pipeline Development & Management Design, develop, and maintain scalable data ingestion and processing workflows. Build and support ETL/ELT pipelines to extract, transform, validate, and load data from various sources. Implement data cleansing, transformation, and enrichment processes to improve data quality and consistency. Monitor scheduled data processes and troubleshoot pipeline failures or performance issues. Optimize data workflows for reliability, scalability, and maintainability. Collaborate with application developers and stakeholders to support data-driven business solutions. Ensure data integrity through validation, testing, and quality assurance processes.

Proven experience in Data Engineering, Data Integration, or a related field. Strong proficiency in SQL and relational database technologies. Experience developing and maintaining ETL/ELT pipelines and data transformation workflows. Solid understanding of data modeling, data quality, and data validation techniques. Experience integrating data from multiple internal and external data sources. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication skills with the ability to collaborate effectively across technical and business teams. Preferred Qualifications Experience working alongside full-stack development teams. Familiarity with enterprise data environments and large-scale data processing. Understanding of reporting, analytics, and business intelligence data requirements. Exposure to automation and workflow optimization best practices.