Senior Associate – Full Stack Engineer

Title: Senior Associate – Full Stack Engineer (.Net)

Location: Chicago, IL (Hybrid – 3 Days onsite per week)

Duration: 3 Months Contract to Hire

Under direction of the Head of Data Analytics & Architecture, Global, the successful Full Stack Engineer candidate will be responsible for designing, building, and maintaining complete web applications, managing both front-end user interfaces and back-end server logic, databases, and APIs. They work throughout the entire software development lifecycle, from conception to deployment, ensuring applications are functional, responsive, and secure, while collaborating with teams to deliver seamless user experiences.

Responsibilities

60%       Full Stack Software Development

·         Front-End Development: Designing and implementing interactive user interfaces using HTML, CSS, JavaScript, and frameworks like React, Angular or Vue.

·         Back-End Development: Building server-side logic, managing databases, and creating RESTful API’s and integrations using ASP.Net, Python, Java, PHP, or Node.js.

·         Integrating and consolidating data from diverse sources, such as databases, APIs, and streaming platforms, ensuring data quality, consistency, and integrity.

·         System Architecture: Developing and maintaining the structure of applications, ensuring scalability, security, and performance.

·         End-to-end Delivery: Troubleshooting, testing, and debugging applications to optimize speed and functionality. Managing the deployment of web applications to servers and maintaining them post-launch.

·         Collaboration: Work closely with data engineers, business liaisons, and line of business stakeholders to translate user requirements into functional features.

·         Partners with Technology Infrastructure and support Operations teams to identify, design, and implement internal process improvements: e.g., automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.

·         Understands how  data platform integrates within the overall technical architecture.

20%       Data Engineering, Machine Learning and Data Agents

·         Design and build data pipelines using Microsoft Fabric or similar tools.

·         Implement data ingestion pipelines from API’s, databases, and other external sources.

·         Build, train and deploy Machine Learning models using Microsoft Fabric Notebooks.

·         Develop AI-powered data agents using Microsoft Fabric capabilities.

·         Integrate LLM’s, external data, web data with enterprise data platform data.

·         Experience in data analysis and interpretation to drive actionable insights.

10%       Data Visualization

·         Develop, maintain, and manage advanced reporting, analytics, dashboards, and other BI solutions.

·         Develop and Implements design principles in Tableau and/or Power BI.

·         Understands the analytic needs and translates them into meaningful and actionable data visualizations.

·         Perform data analysis and validations.

5%          Cybersecurity Collaboration

·         Collaborate with the Cybersecurity team to design, develop, and maintain web applications that adhere to organizational security standards, secure coding practices, and compliance requirements.

·         Work jointly with Cybersecurity teams on authentication, authorization, identity management, and secure API integrations.

5%          Miscellaneous

·         Stay current on emerging technologies for App development, data engineering, cloud services, security practices, and AI platform capabilities.

·         Document system configurations, platform architectures, processes, and operational procedures.

·         Participate in training, workshops, and internal knowledge-sharing sessions.

·         Perform other duties as assigned to support evolving business and technology needs.

Qualifications

·         5+ years of experience in a Full Stack Engineer role.

·         Bachelor’s Degree in technical discipline such as Computer Science, Information Technology, Data Science or related field.

·         Proficient in JavaScript, TypeScript, HTML for building responsive web applications.

·         Strong experience in modern front-end frameworks such as React and Angular.

·         Experience of responsive design, UI/UX principles, and cross-browser compatibility.

·         Strong knowledge of server-side programming such as ASP.Net, Node.js, and Python.

·         Experience working with relational databases such as Microsoft SQL Server, and experience designing databases schemas, writing optimized queries in SQL, and managing data models.

·         Experience building and optimizing Azure data Factory pipelines, architectures, and data sets.

·         Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

·         Experience with version control, CI/CD pipelines and deployment automation using tools like GitHub.

·         Experience deploying and delivering end-to-end web applications in Microsoft Azure platform.

·         Experience supporting and working with cross-functional teams in a dynamic environment.

·         Confident in decision making and the ability to explain processes or choices as needed.

·         Ability to complete milestones and work toward multiple deadlines simultaneously.

·         Proficient in data warehousing solutions and ETL tools.

·         Proficient in database design, data definition, data dictionary, and related concepts.

·         Understanding of Machine Learning concepts

Required Skills

·         Must be able to evaluate technical problems and determine solutions.

·         Must have strong written and verbal communication skills.

·         Must be able to follow and apply established security policies, procedures, and standards.

·         Must be able to read and understand technical manuals and vendor documentation.

·         Must be able to manage multiple technical workstreams independently.

·         Must be able to maintain professional and effective working relations with supervisors and co-workers.

·         Must be able to work flexible hours, including weekends and evenings.

·         Must be able to learn new skills and technologies.