Data & AI Solution Engineer

Key Responsibilities and Essential Job Functions Data Acquisition, Integration, and Orchestration Design and implement data and application integrations using Boomi, APIs, and event‑driven patterns. Build and manage secure, scalable integrations across enterprise platforms including ERP, CRM, operational systems, and data platforms. Monitor, troubleshoot, and optimize integration workflows for reliability and performance. Data Engineering and Platform Enablement Extract, transform, and model structured and semi‑structured data for analytics and downstream consumption. Implement and manage data storage solutions including data lakes, data warehouses, and curated data marts. Apply business rules and data quality standards to ensure trusted, fit‑for‑purpose datasets. AI Solution Design and Enablement Partner with architects, data scientists, and business teams to design solution patterns that support AI and automation use cases. Enable AI solutions by engineering clean, well‑integrated, and governed data inputs. Contribute to solution design for AI‑enabled capabilities including automation, decision support, and analytics. Pipeline and Workflow Development Build and manage automated data and integration pipelines delivering consistent outcomes. Develop reusable integration and data components across the Agile delivery team. Participate in design reviews and code reviews to ensure maintainability and architectural alignment. Collaboration and Delivery Communicate effectively with technical and business stakeholders. Manage personal delivery commitments and dependencies. Contribute to technical documentation, operational runbooks, and knowledge sharing. Required Qualifications Experience working in an Agile delivery environment. 3+ years of experience in data engineering, solution engineering, or integration engineering roles. Strong SQL development experience in a Microsoft SQL Server environment. Hands‑on experience with integration platforms such as Pentaho, Boomi or equivalent iPaaS tools. Experience working with APIs, data exchange patterns, and workflow orchestration. Proficiency with tools such as GitHub, Python, and enterprise data tooling. Strong understanding of relational database principles, data modeling, and performance optimization. Preferred Qualifications Experience supporting AI or machine learning use cases. Familiarity with enterprise SaaS platforms and operational systems. Knowledge of data center operations or billing platforms. Salary and Variable Pay Base Pay Range: Annualized salary range is estimated to be $100,000 – $110,000. Variable Pay: Discretionary annual bonus, based on personal and company performance. Benefits Medical, Telehealth, Dental and Vision 401(k) Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA) Life and AD&D Short-Term and Long-Term disability Flex Paid Time Off (PTO) Leave of Absence Employee Assistance Program Wellness Program Rewards and Recognition Program EEOC Statement Flexential is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Flexential participates in the E‑Verify program. #J-18808-Ljbffr