Full Stack Developer

Developer-Full Stack SpecialistLocation: Mclean, VA - OnsiteContract: 3 Months C2HPay Range: $100/hour W2Conversion Salary Range (if applicable): $215K- 220K.Must Have Qualifications: Overall 10+ years of hands-on experience in Java,.Net, Python, Cloud- AWS, Microservices, Kubernetes, Angular- last 5 years of versions in all. 7-8 years of leadership leading developers.Interview Information:Rounds: 2 roundsDuration: 30 Minutes| 90 MinutesInterview Type: MS Teams - Video Mandatory | In PersonJob DescriptionWe are seeking a highly skilled Software Engineering Director with proven expertise in designing, building, and scaling data solutions. This role requires not only strong technical depth but also the ability to lead, mentor, and inspire teams of data engineers. You will be responsible for driving the technical strategy, design, and implementation of our data platform to enable advanced analytics, AI/ML, and business intelligence across the organization.This role uniquely combines hands-on technical leadership with strategic thinking, requiring someone who can design & deliver solutions for today while building capabilities for tomorrow’s AI-driven landscape.Our ImpactThe Multifamily Technology supports the multifamily business by crafting and creating solutions to a variety of technology challenges. This support takes many forms, including deploying new technologies such as web-based solutions driven by AI and microservices, and maintaining critical underwriting and accounting applications.Your ImpactDrive the technical vision for next-generation applications incorporating AI capabilities.Implement responsible AI practices and ensure ethical AI deployments.Communicate complex technical ideas clearly and lead teams towards shared goals.Lead the adoption of AI-powered development tools and practices.Perform code reviews to ensure code is rigorously designed, elegantly coded, and effectively tuned for performance.Balance technical leadership & savvy with strong business judgement to make the right decisions about engineering choices.Design solutions that balance innovation with reliability and securityBuild reusable components and platforms that accelerate development.Lead teams to build and integrate Gen AI solutions with enterprise platforms via API-based methods and standardized patterns.Transform how teams approach problem-solving through AI augmentation.Create a culture of technical excellence and continuous innovation.Strategically leverage outsourced engineering services to ensure timeliness, scalability, and maintainability of special projects.QualificationsBachelor’s or Master’s in Computer Science, Computer Engineering, or related field15+ years of non-internship professional experience in software engineering, with at least 5+ years in data engineering10+ years of experience in design, development, delivery and supporting distributed systems using Java, Spring, Spring Boot, Microservices, RESTful and GraphQL APIs4+ years’ experience in developing and maintaining applications using Spark frameworks with strong programming skills in Python, Scala, and Spark ecosystemExpertise in processing and analyzing large-scale datasetsKnowledge of Object-Oriented Design, data structures, and algorithmsExperience with cloud platforms like AWS, GCP or Azure and their data servicesStrong knowledge of data fabric concepts (data virtualization, metadata-driven orchestration, semantic layers)Experience with near real-time data processing, stream-based integrations, and data serialization formatsExperience with data modelling, and an understanding of common information models5+ years' experience in Agile practices, building software in enterprise environment, with 1+ years in applied Gen AI or LLM-based solutionsExperience with modern data analytics and AI/ML integration (SageMaker, Tableau, Snowflake Spectrum)Hands-on experience with CI/CD pipelines and modern DevOps/DataOps practices, including Git, Terraform, Jenkins, Pipelines, and ContainerizationExperience in designing, implementing, and maintaining scalable data pipelines and ETL/ELT processes to support enterprise reporting and analytics needsExperience in Data Governance discipline including Master Data Management, Data Quality Management, Metadata management, Lineage, and catalogingExperience with OAuth Implementation, API Management, Service Mesh, Active-MQ implementations (Queue/Topic) and Schedulers for batch jobs.Experience in database systems (RDBMS, GraphDB, Advanced SQL proficiency, MongoDB), Object storage (S3, Blob), Caching (Redis), and DataMart’sExperience solving complex problems, especially in algorithm-heavy or data intensive applicationsKnowledge in building RAG systems, data ingestion pipelines, and embedding-driven retrieval systemsExcellent communication skills with ability to translate technical concepts to various audiences7+ years in leadership roles managing cross-functional engineering teams including both data engineers and software engineersProven experience influencing business outcomes through technical solutionsStrong people skills to influence and engage stakeholders across all levels without direct authorityExcellent problem solving, design thinking, and decision-making skillsKeys to Success in this Role:Deep understanding of modern software designs and emerging AI technologiesAbility to align technical decisions with business objectivesAbility to establish engineering practices for responsible AI implementationBeing enthusiastic about technology and engineering discipline and applying it in building innovative distributed systems reducing complexityTaking ownership, acting with accountability and urgencyEnergized by challenges, demonstrate resilience, incredible technical analysis, and focus on doing the right thingConstantly exploring modern technologies and their practical applicationsBuilding consensus while driving technical excellenceAbility to create & articulate application technical designs, decomposing designs to development tasks, sizing efforts and building roadmaps aligning with business goalsThriving in ambiguity and rapid technological changePassion for elevating team capabilities and sharing knowledgeBalancing perfection with pragmatic delivery