Data Engineer

Valleysoft is a regional IT services provider delivering enterprise technology, integration, and data solutions to global clients. Working across complex enterprise environments, the team helps organizations connect critical systems, improve the flow of information, and turn data into reliable business insight. This is an opportunity to join a business focused on practical, high-impact delivery for global customers operating at scale. As a Data Engineer at Valleysoft, you will play a key role in strengthening the data foundations that support enterprise reporting, analytics, and operational decision-making. You will contribute to the design, reliability, and continuous improvement of pipelines and integration workflows across a varied technology landscape, partnering with both technical and business stakeholders to keep data accurate, available, and fit for purpose. The role offers the chance to work across established enterprise platforms while helping shape enhancements that improve quality, resilience, and usability. Responsibilities Build and maintain data pipelines across SAP, Microsoft Azure, and the analytics landscape using Velocity, Theobald, and Intelligent Data Platform (IDP) Implement data preparation and transformation workflows with Alteryx Provide L1.5-L3 support for data pipeline incidents by monitoring, troubleshooting, and resolving failures Support data quality processes in partnership with Pulse Document data flows and pipeline architecture Deliver pipeline enhancements and new capabilities Collaborate with business and technical teams to ensure reliable data availability and quality Requirements Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field Experience in ETL/ELT pipeline development and troubleshooting production data pipelines; ideally, you bring 3+ years in data engineering, ETL, or data integration roles Strong SQL development and scripting skills, along with experience working with Python Hands-on experience with Velocity, Theobald, and Alteryx, or similar data integration tools Experience with Azure data services and cloud-based data architectures Knowledge of data quality, validation, and monitoring practices, along with a solid understanding of data warehousing and data integration concepts Experience working in Agile/Scrum delivery environments Business-fluent English communication skills Exposure to SAP data ecosystems and enterprise analytics platforms is a plus Benefits Private Health Insurance Training & Development Show more Show less