• Design and implement scalable, reliable, and efficient data pipelines to support clinical, operational, and business needs. • Develop and maintain architecture standards, reusable frameworks, and best practices across data engineering workflows. • Build automated systems for data ingestion, transformation, and orchestration leveraging cloud-native and open-source tools. • Optimize data storage and processing in data lakes and cloud data warehouses (Azure, Databricks). • Develop and monitor batch and streaming data processes to ensure data accuracy, consistency, and timeliness. • Maintain documentation and lineage tracking across datasets and pipelines to support transparency and governance. • Work cross-functionally with analysts, data scientists, software engineers, and business stakeholders to understand data requirements and deliver fit-for-purpose data solutions. • Review and refine work completed by other team members, ensuring quality and performance standards are met. • Provide technical mentorship to junior team members and collaborate with contractors and third-party vendors to extend engineering capacity. • Use Databricks, DBT, Azure Data Factory, and SQL to architect and deploy robust data engineering solutions. • Integrate APIs, structured/unstructured data sources, and third-party systems into centralized data platforms. • Evaluate and implement new technologies to enhance the scalability, observability, and automation of data operations. • Proactively suggest improvements to infrastructure, processes, and automation to improve system efficiency, reduce costs, and enhance performance.

Role Description - Analyzing complex processes from an enterprise perspective. - Assessing operations, identifying opportunities for enhancement, and developing solutions. - Evaluating alternative concepts using mathematical models, simulation tools, and supply chain theory. - Documenting functional capability requirements for subsequent use as the basis for software development. - Conducting and documenting results from functional software tests. - Performing studies and analyses and generating technical documentation of the results. - Creating and presenting briefings to communicate findings and recommendations. - Design a methodology and validate it by writing code in Python and run analysis. - Project to involve advanced data analytics and emerging technologies, working with data science and business experts. - Collaborate with passionate scientists and engineers on exciting problems including recommendations, personalization, search engine marketing. - Research, analyze, present results, and recommend intelligent solutions to solve problems and address business challenges by applying a knowledge of data analysis, critical-thinking skills, and intel experience/expertise. - Structure analytical results in an organized, visual manner to tell a meaningful, actionable story. - Develop, implement and revise detailed analysis. - Use your experience in analytics tools and scientific rigor to produce actionable insights. - Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new products, features, policies, and models. Qualifications - Current enrollment in a degree seeking program at FIU is required. - Availability to work full-time for at least 10-12 weeks. - Pursuing a major in Engineering, Modeling & Simulation, Computer Science, Industrial Engineering, Math, Operations Research, Business Administration, or related fields. - Basic proficiency with a variety of data analysis tools, spreadsheets, and database programs. - Strong written and verbal communication skills, including the ability to compose and write a variety of internal and external documents, reports, and presentations. - Strong interpersonal and listening skills required, with ability to develop and maintain professional relationships within LMI and with its clients. - Ability to contribute to a professional work environment by demonstrating integrity, promoting teamwork, and fostering positive communication. - Strong problem solving, time-management, and organizational skills. - Strong planning skills and the ability to coordinate and prioritize assignments with minimum supervision. Must be self-directed and detail oriented in completing assigned tasks and projects. - Applicants selected for this position will be subject to a government security investigation and must meet eligibility requirements for access to classified information. For this position, LMI will only consider applicants who are eligible for security clearances. Only US Citizens are eligible for a security clearance. Requirements - Programming experience—ability to program and learn new programming languages quickly. - Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

• Build production-grade data systems by writing clean, modular, well-tested Python code for data pipelines and platform services. • Design and maintain data models aligned with medallion architectures (bronze/silver/gold). • Build and maintain data workflows using Dagster (preferred) or Airflow. • Implement idempotent transformation logic using SQLMesh/Tobiko (preferred) or dbt. • Build, debug, and optimize Docker images for local and production environments. • Read and modify infrastructure-as-code using Terraform. • Document data flows, system architecture, and operational procedures clearly.

• Run partner and client-facing conversations about technical integrations • Call external APIs to perform data review and manipulate CSV and JSON Data • Work directly with clients to improve their experience and feedback • Own all aspects of the client's technical onboarding experience • Define new SIS integration architecture and methodologies • Develop deep product knowledge and provide API integration expertise • Improve time to integration and drive customer experience