Data Engineer

Agility Partners is seeking a qualified Data Engineer II to fill an open position with one of our clients in the financial services industry. This is an exciting opportunity to work on high-impact data products that directly influence retail performance, banker productivity, and customer engagement analytics. The role sits within an Enterprise Data Office and offers meaningful exposure to enterprise-scale data modernization efforts. You’ll help evolve the team from a reactive support model to a proactive, solution-driven engineering culture.In this role, you will design, build, and support critical data pipelines that power branch and banker performance management. You’ll partner closely with business and technology stakeholders to deliver trusted, well-governed datasets that support incentive compensation, customer insights, and enterprise data domain enablement.What You’ll Be Responsible ForBuilding, maintaining, and optimizing SQL-based data transformations and pipelines supporting retail performance and analyticsSupporting and modernizing ETL processes that move data across multiple source systems into enterprise data domainsInvestigating data issues, performing root cause analysis, and implementing durable solutionsPartnering with business and technical stakeholders to understand data needs, validate outputs, and ensure data qualityThe Ideal CandidateStrong SQL expertise with the ability to write, read, troubleshoot, and optimize complex queriesExperience with data movement, ETL processes, data transformations, and data validation/testingProven ability to work with large, complex datasets across multiple source systemsStrong analytical and problem-solving skills with a proactive, ownership-driven mindsetExcellent communication skills and comfort working with both technical and non-technical partnersAbility to balance delivery work with ongoing production support responsibilitiesCollaborative, curious, and motivated to learn business context and enterprise data patternsReasons to Love ItWork on data products that directly impact retail performance and banker incentivesOpportunity to contribute to enterprise data modernization initiativesStrong partnership with business stakeholders and high visibility across the organizationHybrid in-office schedule (4 days on-site, Monday–Thursday)