> Markdown version of [/jobs/ext/3548584-lead-data-mulesoft-engineer-ii](https://www.wearedevelopers.com/jobs/ext/3548584-lead-data-mulesoft-engineer-ii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data/MuleSoft Engineer II - **Company:** Deloitte T.T.L. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $137,700.0 - $229,500.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Data Analysis, Information Systems, Data Validation, Data Conversion, Extract Transform Load (ETL), Data Mapping, Data Migration, SQL Databases, Data Import/Export, Enterprise Software Applications, Information Technology, Enterprise Integration, Mulesoft - **Published:** October 1, 2026 - **Apply:** https://dejobs.org/x/x/40A821211CC34989B4150D9BDF2EBFA9/job/ ## About the Role * Ability to work independently and collaborate as part of a team. * Effective written and verbal communication skills. * Meticulous attention to detail and quality of work product. * Ability to build and sustain professional relationships. * Ability to lead projects or workstreams. * Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment. * Strong interpersonal skills and professional demeanor. * Ability to meet deadlines. * Ability to mentor and provide clear guidance to others., * Bachelor's degree in Computer Science, Information Systems, Engineering, or a technical field * 7+ years of experience designing, developing, and maintaining enterprise data integration solutions * 3+ years of experience building application programming interfaces using MuleSoft * 3+ years of experience developing extract, transform, and load pipelines using Informatica * 3+ years of experience supporting data migration, data validation, and legacy data conversion activities * Active Secret security clearance * Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. * Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. * Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve. * Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Preferred * Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. * Experience supporting United States Army or other federal government technology programs * Experience integrating multiple enterprise applications in a production environment * Experience developing data mapping, transformation, and validation rules for legacy-to-target migrations * Experience using Structured Query Language for data analysis, reconciliation, and issue resolution * Experience leading technical workstreams or mentoring engineers * Experience working in Agile delivery environments The wage range for this role takes into account a wide range of factors considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. ## Description As a Lead Data Engineer II on the team, you will be responsible for: * Support AIE's integration layer and data migration workstreams across enterprise platforms * Design, develop, and maintain MuleSoft flows connecting 13+ upstream and downstream Army systems * Develop and maintain the Soldier Data Import (SDI) pipeline in Informatica for migration of legacy data into AIE * Execute extraction, transformation, load, and validation activities to support accurate and timely data migration * Troubleshoot integration and data issues, improve pipeline performance, and support delivery across technical workstreams