Trident Consulting is seeking a " Data Migration Specialist " for one of our direct client in "McLean, VA" A global leader in business and technology services Position: Data Migration Specialist Job Location: McLean, VA Job Type: Contract Looking only local to VA, MD, DC Candidates • Overall Professional Experience: 15+ years • Apache Airflow Specific Experience: 3+ years • Autosys Specific Experience: 3+ years • AWS MWAA Specific Experience: Proven track record of successful migrations Job Summary: We are seeking a highly accomplished and strategically minded hands-on Lead Engineer to drive the modernization of our customer's batch processing system. This pivotal role requires over 15 years of progressive experience in application development, integration of batch processes, with a specialized focus on Apache Airflow (and a deep understanding of legacy scheduling tools like Autosys). A critical component of this role will be leading the migration of existing Autosys workflows and jobs to AWS Managed Workflows for Apache Airflow (MWAA). MWAA Migration & Strategy Leadership: • Lead the end-to-end migration of existing Autosys workflows and jobs to AWS MWAA, including assessment, planning, re-platforming, testing, and validation support. • Develop comprehensive migration strategies, roadmaps, and execution plans, minimizing disruption to ongoing operations. • Design and implement robust, scalable, and secure batch pipelines within MWAA, translating Autosys concepts and logic into efficient Airflow DAGs. • Serve as the primary technical expert for the Autosys to MWAA migration, providing guidance and troubleshooting support. Airflow & MWAA Expertise: • Architect, develop, migrate highly scalable, reliable, and efficient batch pipelines using Python and Airflow DAGs within MWAA. • Manage and optimize MWAA environments, including infrastructure setup, configuration, monitoring, and scaling. • Implement best practices for Airflow DAG development, testing, deployment, and version control (e.g., Git, CI/CD pipelines). • Troubleshoot and resolve complex issues related to Airflow DAGs, infrastructure, and performance within MWAA. Autosys Legacy System Understanding: • Possess a strong understanding of Autosys concepts, job types (e.g., Command, File Watcher, Box jobs), dependencies, calendars, and monitoring. • Perform in-depth analysis of existing Autosys workflows to identify migration complexities and opportunities for optimization. • Collaborate with existing Autosys administrators and application teams to ensure accurate and complete migration of functionalities. Team Leadership & Mentorship: • Provide technical leadership, guidance, and mentorship to a team of migration engineers, fostering a collaborative and high-performing environment focused on migration and cloud adoption. • Conduct code reviews, provide constructive feedback, and ensure adherence to coding standards and best practices. • Contribute to the professional development of team members through training, knowledge sharing, and coaching on Airflow, MWAA, and migration best practices. Architecture & Operational Excellence: • Collaborate with SMEs, product owners, and other stakeholders to define data pipeline requirements and translate them into robust Airflow solutions. • Contribute to the overall batch process architecture strategy, identifying opportunities for optimization, automation, and innovation post-migration. • Implement robust monitoring, alerting, and logging solutions for Airflow DAGs and MWAA environments. • Ensure compliance with security best practices for process handling and access within Airflow and MWAA. Expertise in AWS: • Hands on knowledge and expertise in S3, SQS, SNS, EKS, ECS Fargate, Step Functions • Evaluate, and Implement architecture options for implementing end to end batch processes on AWS Qualifications: • Bachelor's or master's degree in computer science, or a related quantitative field. • 10+ years of overall professional experience in Java/ JEE and RDBMS databases, and software development. • 5+ years of hands-on experience in Springboot and Spring batch • 5+ years of hands-on experience specifically with Apache Airflow, including complex DAG development, custom operators/hooks, and plugin creation. • 3+ years of hands-on experience with Autosys, demonstrating a solid understanding of its features, job scheduling, and administration. • Proven track record of successfully leading and executing migrations from legacy scheduling tools (specifically Autosys) to cloud-native orchestration platforms like AWS MWAA. • Demonstrable expert-level experience with AWS Managed Workflows for Apache Airflow (MWAA), including environment setup, configuration, scaling, security, and troubleshooting. • 5+ years of hands-on experience in Python programming for Airflow DAG development. • Extensive experience with AWS cloud services, including but not limited to CloudWatch, and IAM. • Proven experience designing and implementing highly scalable and fault-tolerant batch pipelines. • Experience with relational and NoSQL databases (e.g., PostgreSQL, Oracle, DynamoDB, MongoDB). • Familiarity with CI/CD practices and tools (e.g., Jenkins, GitLab CI, AWS CodePipeline). • Strong problem-solving skills and the ability to diagnose and resolve complex technical issues, especially during migration. • Excellent communication, interpersonal, and leadership skills, with the ability to effectively collaborate with cross-functional teams and mentor junior engineers. Preferred Qualifications: • AWS Certifications (e.g., AWS Certified Solutions Architect - Associate/Professional). • Experience with containerization technologies (Docker, Kubernetes). • Experience in the Financial services sector, particularly in environments with complex legacy systems. About Trident Trident Consulting is a premier IT staffing firm providing high-impact workforce solutions to Fortune 500 and mid-market clients. Since 2005, we've specialized in sourcing elite technology and engineering talent for contract, direct hire, and managed services roles. Our expertise spans cloud, AI/ML, cybersecurity, and data analytics, supported by a 3M+ candidate database and a 78% fill ratio. With a highly engaged leadership team and a reputation for delivering hard-to-fill, niche talent, we help organizations build agile, high-performing teams that drive innovation and business success. Some of our recent awards include: • Trailblazer Women Award 2025 by Consulate General of India in San Francisco • Ranked as the #1 Women Owned Business Enterprise in the large category by IT-Serve. • Received the Tech-Serve Excellence award. • Consistently ranked in the Inc. 5000 list of fastest-growing private companies in America • Recognized in the SF Business Times as one of the Largest Bay Area BIPOC/Minority-Owned Businesses in 2022