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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** NTT DATA, Inc. - **Location:** Nashville, TN, United States - **Experience:** Expert - **Salary:** $104,240.0 - $156,360.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Business Logic, Unit Testing, Batch Processing, Cloud Computing, Cloud Engineering, Code Review, Computer Programming, Databases, Continuous Integration, Data Architecture, Data Transmissions, Information Engineering, Extract Transform Load (ETL), Data Mining, Data Warehousing, Relational Databases, DevOps, Job Scheduling, Python (Programming Language), Shell Script, Software Deployment, Software Engineering, PL-SQL, Data Streaming, Scripting, File Transfer Protocol (FTP), Sql Optimization, Delivery Pipeline, Information Technology, Data Management, Cloud Migration, Jenkins, Programming Languages - **Published:** November 5, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-engineer-nashville-tn--d5e252cc-51c2-40f4-b4e5-e06664d1d8b0 ## About the Role Agile Programming Methodologies, Software Engineering, Cloud Computing, Production Support, Team Lead/Manager, DevOps, Project/Program Management, Delivery Management, Project Tracking, Code Reviews, * Degree: Bachelor's degree in computer science, Information Technology, or equivalent professional work experience. * Database & Scripting: 10+ years of deep experience in enterprise relational database programming (Advanced SQL, PL/SQL) and scripting languages (e.g., Shell scripting). * Cloud Infrastructure: 3+ years of experience building and deploying solutions on public cloud platforms (e.g., AWS). * Data Architecture: Proven experience working within ETL (Extract, Transform, Load) paradigms and Data Warehousing environments. * MDM exposure: Familiarity or hands-on experience with Master Data Management (MDM) concepts and tools * Modern Programming: Practical experience with modern programming languages for data automation (e.g., Python). * DevOps & Automation: Hands-on experience with continuous integration and continuous deployment (CI/CD) pipelines and automation servers (e.g., Jenkins). * Support Experience: Demonstrated background supporting critical, high-availability production environments. Preferred Qualifications (Nice to Have) * Experience or domain knowledge within the Financial Services industry. * Prior experience acting in a Project Lead or technical leadership capacity. Candidates must be within reasonable commuting distance of or able to relocate to Nashville, TN or Plano, TX. ## Description We are seeking a senior data and cloud engineer to join our team. In this role, you will be responsible for executing development tasks within an Agile framework, leading cloud migration efforts, providing production support on a rotational basis, and implementing new business feature requests., Agile & Sprint Management * Sprint Execution: Operate within a bi-weekly sprint cycle to deliver tasks assigned by the team lead based on business priorities. * Task Management: Manage individual deliverables tracked through standard project management workflows (covering cloud migration, maintenance, DevOps pipeline enhancements, and new feature intakes). * Collaboration: Actively participate in daily stand-ups, code reviews, and technical demonstrations. * Solution Architecture: Participate in brainstorming and solutioning sessions to contribute to cloud migration frameworks. Cloud Migration & Modernization * Workload Analysis: Analyze legacy batch processes (inbound/outbound feeds, reporting) to map out execution frequencies and scheduling dependencies. * Impact Assessment: Evaluate code modifications required to transition legacy on-premises applications to a cloud environment. * Development & Testing: Plan and execute code changes, perform rigorous unit testing, and leverage CI/CD pipelines to deploy to lower environments (UAT/Performance) for functional validation. * Data Transfer Validation: Ensure secure file transfer protocols (SFTP) are configured and working flawlessly across all environments. * Deployment: Plan, schedule, and deploy code scripts, database logic, and job scheduling configurations to Production. * Post-Go-Live Support: Monitor newly migrated cloud jobs for multiple cycles to ensure stability and error-free execution. Production Support & Maintenance * Rotational Support: Provide dedicated production support coverage during designated business hours on a rotational team schedule. * Incident Management: Respond to and resolve system incidents logged in the enterprise IT service management (ITSM) tool. * Triage & Escalation: Analyze production issues to identify root causes; efficiently route data or application issues to appropriate cross-functional teams when necessary. * System Upkeep: Troubleshoot batch job failures, resolve CI/CD pipeline deployment errors, and address ad-hoc data maintenance requests and user queries. Feature Enhancements (Work Intake) * Feature Delivery: Implement new core features and enhancements for data batch processing systems. * Data Engineering: Modify existing data feed formats, adjust schema structures (adding/removing columns), update core business logic, or build net-new data extraction pipelines. * Stakeholder Engagement: Partner closely with business stakeholders and requestors to align technical deliverables with business requirements.