DevOps Engineer (Data Integration Engineer - Cash Analytics)

We are seeking an experienced *DevOps Engineer / Data Integration Engineer* to support a high-impact financial services initiative focused on cash analytics and enterprise data integration.In this role, you will be responsible for designing, developing, and maintaining robust data integration solutions that extract, transform, validate, and deliver critical financial and operational data to analytics platforms. You will work closely with business stakeholders, analysts, data owners, and vendor teams to ensure data quality, reliability, and successful delivery across multiple enterprise systems.Key Responsibilities * Design, develop, and support end-to-end data integration solutions. * Build and maintain automated data extraction, transformation, validation, and file generation processes. * Develop and manage CI/CD pipelines to streamline development and deployment activities. * Implement and maintain Infrastructure as Code (IaC) solutions. * Build and support scheduled batch processes and data pipelines. * Perform data quality validations, reconciliations, and exception handling. * Collaborate with business and technical teams to define data mappings and transformation logic. * Support SIT, UAT, production deployments, and defect resolution activities. * Monitor system performance, optimize scalability, and ensure high availability. * Troubleshoot data quality issues and perform root cause analysis. * Create and maintain technical documentation, interface specifications, and operational procedures. * Support production operations by monitoring jobs and ensuring timely data delivery. Required Qualifications * 6+ years of experience in DevOps, Data Integration, or related engineering roles. * Strong experience developing and maintaining CI/CD pipelines. * Experience with Infrastructure as Code (IaC). * Hands-on experience designing and supporting enterprise data integration solutions. * Strong understanding of ETL processes, data transformation, and data validation. * Experience supporting production environments and troubleshooting integration issues. * Ability to collaborate effectively within Agile teams. Preferred Experience * Financial Services industry experience. * Experience working with brokerage, wealth management, cash management, deposits, banking, or related financial data. * Experience performing financial data reconciliations and validations. * Knowledge of data governance, auditability, and regulatory controls within financial environments. Work Arrangement * Hybrid schedule with *2 days per week onsite* at a local Deloitte office. * Candidates must be able to work in the office as required. * Travel expenses are not reimbursable. Important Notes * This is a funded and active project. * Candidates working through subcontractors or third-party vendors cannot be considered. Pay: $40.00 per hour Application Question(s): * How many years of experience do you have supporting production environments, including monitoring jobs, troubleshooting failures, and resolving data integration issues? * How many years of experience do you have working with financial services data (banking, brokerage, wealth management, cash management, deposits, or similar)? * Are you a us citizen or a green card holder ? * Are you comfortable working on w2 with a pay rate of 40 per hour? * How many years of hands-on experience do you have working as a DevOps Engineer? * How many years of experience do you have designing, developing, and maintaining CI/CD pipelines in production environments? * How many years of experience do you have building and supporting enterprise data integration, ETL processes, or data pipelines? * How many years of experience do you have working with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation, Ansible)? Work Location: Remote