Data Engineer

Location- US-Lewisville or Detroit Data Engineer Key Responsibilities: Implement and optimize data storage solutions using Snowflake, SQL Database to support analytics and reporting needs. Collaborate with Tech teams, analysts, and business stakeholders to understand data requirements and deliver high-quality, reliable datasets. Ensure data security, compliance, and governance by applying best practices, role-based access control (RBAC), and encryption. Monitor and troubleshoot data workflows, ensuring performance, reliability, and cost-efficiency across the cloud environments. Automate data integration and transformation using scripting languages like Python. Essential Qualifications: Bachelor's degree in computer engineering, Computer Science, or a related discipline 4+ years of advanced SQL programming expertise (PL/SQL, T-SQL) 3+ years of experience in Enterprise Data & Analytics solution architecture 3+ years of experience in Python Programming 3+ years of hands-on experience with Snowflake, especially for data-heavy/analytics applications leveraging relational and NoSQL databases, Data Warehousing, and Big Data solutions. 2+ years of experience defining and implementing data security standards, including encryption, auditing, and monitoring. Strong analytical skills and a passion for intellectual curiosity Preferred Skills: Familiarity with DevOps processes (CI/CD) and infrastructure as code Experience developing REST APIs using Java Spring Boot, Python Experience with API integrations (RESTful, SOAP) for both internal and external systems to enhance data flow and automation. Experience working in Agile environments, familiarity with Agile tools like Jira or Azure DevOps. Experience in data and analytics within the Banking sector

Created: 2026-03-04