• Maintain data environments and processes in Azure and on-premises, ensuring continuous and reliable operation; • Provide advanced administration and support for Databricks (Azure), including troubleshooting and operational tuning; • Monitor and manage pipelines, jobs, integrations, and data routines with a preventive and corrective approach; • Implement fixes and improvements to existing processes, performing root-cause analysis and reducing recurrence; • Lead incident management and resolution (SLA, prioritization, communication, follow-up until stabilization); • Support BI and development teams, ensuring environments are ready for new releases and requests; • Continuously evolve and improve DataOps / CI/CD pipelines for data (governance, quality, and reliability); • Collaborate with infrastructure/architecture teams when needed (capacity, access, security, network, performance); • Ensure adherence to security, governance, and compliance best practices in the data context; • Propose and implement improvements in observability, monitoring, and alerting (metrics, logs, traceability).

Role Description The Data Migration and Platform Support Analyst will support modernization of the Navy’s audit artifact management platform. This role assists with preparation, migration, validation, and organization of data and artifacts as they transition from legacy repositories into a modern enterprise data environment. The analyst will work closely with data platform engineers and functional stakeholders to support data migration activities, validate migrated datasets, and document platform data structures and processes. This position helps ensure data accuracy, traceability, and maintainability as the platform environment evolves. Key Responsibilities - Data Migration & Validation: - Assist with preparation and organization of data and artifacts for migration into the platform environment. - Support migration of datasets from legacy systems such as SharePoint repositories into the modern data platform. - Verify that migrated data is complete, properly structured, and accessible within the platform environment. - Assist platform engineers with data pipeline development and migration activities, including dataset preparation, validation, and testing within the enterprise data environment. - Data Validation & Testing: - Perform validation checks to confirm accuracy and completeness of migrated datasets. - Assist engineers with testing data pipelines and validating dataset outputs. - Document testing results and support issue tracking during migration activities. - Documentation and Process Support: - Document data sources, dataset structures, and migration procedures. - Assist with maintaining platform documentation and operational procedures. - Support development of user reference materials and internal documentation for platform workflows. - Operational Support: - Assist the platform team with organizing datasets and artifact repositories within the platform environment. - Support ongoing data maintenance activities as the platform environment evolves. Qualifications - Bachelor’s degree in Information Systems, Data Management, Business, Computer Science or related field, or equivalent experience. - 1-3 years data management, data migration, or technical program support activities. - Experience with structured data using tools such as Excel, SQL, or similar technologies. - Experience supporting enterprise systems or data environments preferred. Skills - Strong attention to detail when reviewing and validating datasets. - Ability to document technical processes clearly and maintain organized records. - Strong organizational skills managing large collections of data or documents. - Ability to collaborate with engineers and functional teams supporting platform operations. Requirements - Active Secret Clearance. - Contingency – This work is contingent upon award. Salary Range - $65-$90k per year Company Description Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today’s rapidly evolving business environment. Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

• Build & Modernize Core Data Infrastructure: Lead the evolution of our existing integrations toward a modern, orchestrated architecture. Design, build, and scale robust data pipelines into a cloud data warehouse, integrating data from our enterprise systems (ERP/EPM/Treasury/HR). • Own the Data Architecture: Set the long-term technical direction for our financial data warehouse and analytics strategy. You'll evolve early pipelines into a scalable, well-modeled platform that serves Finance stakeholders. • Ensure Institutional Data Integrity: Establish rigorous automated reconciliation logic, data quality frameworks, and monitoring within Workato/Tines to ensure all financial, billing, and tax data is 100% accurate, traceable, and SOX-compliant. • Drive Engineering Excellence: Set a high technical bar for the team by introducing data engineering best practices in version control, CI/CD pipelines, error handling, and security standards for financial workflows. • Partner Cross-Functionally: Collaborate deeply with Finance, Accounting, and Strategic Finance stakeholders, alongside Legal, HR, and other core business teams, to translate complex reporting, compliance, and enterprise operational requirements into robust, automated technical solutions across Reddit's broader Corporate Engineering ecosystem.

Role Description At Enroute, we are looking for a Data Engineer - Data Conversions to join a high-impact engineering team. As a Data Engineer on the Conversions team, this person will play a critical role in migrating insurance policy data from administration systems to a modern policy administration platform. This is an analysis-first role with a data engineering component: - Deep-dive into data, trace and reconcile information across multiple data layers (databases and files). - Build the mappings and transformations that move legacy data into the target format. - Resolve data quality issues to deliver validated loads. Strong, hands-on command of SQL as a language is essential, and the role makes heavy, daily use of AI tooling to accelerate that work. The position offers direct mentorship from an experienced conversion manager and exposure to the full data migration lifecycle, from initial discovery through production cutover. It requires technical fluency combined with effective communication to support iterative delivery cycles, and it suits someone adaptable who is eager to learn the team's conversion methodology. Qualifications - Strong, hands-on command of SQL as a language (the core skill for this role). - Proficiency in SQL Server: queries, views, stored procedures, CTEs, window functions. - ETL (Extract, Transform, Load) processes. - Building source-to-target data mappings and transformation logic. - Data validation and data cleansing practices. - Cloud database experience — AWS: RDS, S3, Secrets Manager. - Proficiency in Excel for data analysis and legacy data review. - GitHub / version control. - Project management software (e.g., Jira). - Agile methodologies (e.g., Kanban, Scrum). - Secure handling of sensitive financial data and personally identifiable information (PII). - Experience using AI coding assistants (Claude, GitHub Copilot, or similar) for development workflows, prompt engineering, and automated analysis. Requirements - Prior data migration / conversion project experience (highly preferred). - Experience with policy administration systems (highly preferred). - Experience in the insurance / financial industry (highly preferred). Soft Skills / Competencies - Excellent communication and interpersonal skills; able to convey complex technical concepts to non-technical stakeholders. - Strong problem-solving abilities and analytical thinking. - Self-directed learner who thrives with mentorship. - Coachable, adaptable, and team-first; values flexibility and willingness to learn over tenure. - Ability to work on multiple projects simultaneously while ensuring high-quality delivery. - Strong attention to detail, focused on accurate and validated data. Benefits - Monetary compensation. - Year-end Bonus. - IMSS, AFORE, INFONAVIT. - Major Medical Expenses Insurance. - Life Insurance. - Funeral Expenses Coverage. - TDU Membership. - MediAccess. - Health Check-Up Subsidy. - Preferential rates for car insurance. - Vacations. - Official Mexican Holidays. - Life Happens Days. - Bereavement Leave. - Civil Marriage Leave. - English Classes. - Certifications. - Educational Agreements (Talisis, U-ERRE, UNID, TecMilenio, Tec de Monterrey, UDEM, SPIS). - Corporate Agreements & Discounts (Sorteos Tec, Envia Flores, TopGolf). - Taquitos Rewards. - Birthday Bonus. - Work-from-home Bonus. - Laptop Policy.