Lead Data Engineer

Dice is the leading career destination for tech experts at every stage of their careers. Our client, nTech Solutions, is seeking the following. Apply via Dice today! Title: Lead Data Engineer Location: Hybrid schedule at Reston, VA Terms of Employment • W2 Contract-to-Hire, 12 months • This is a hybrid schedule at Reston, VA Candidates must reside in Maryland, Washington, DC, or Virginia Role Purpose • The Lead Data Engineer is responsible for designing, building, deploying, and scaling robust data solutions with a primary focus on the AWS Cloud platform. You will lead a team in transforming the company s data platforms to deliver meaningful, data-driven insights while ensuring high reliability, automation, and performance Core Responsibilities: • Data Integration & Pipeline Leadership (50%): Lead the team to design, implement, and monitor all aspects of Data Integration. Develop and enforce best practices for data management, ensuring optimal performance for complex data pipelines. • AWS Infrastructure & Architecture (10%): Develop and maintain cloud-based infrastructure, including data warehouses (Redshift) and data lakes (S3). Model Data Warehouse solutions specifically tailored for cloud environments. • Engineering Oversight (10%): Oversee the delivery of high-priority engineering initiatives, managing both long-term projects and ad-hoc ELT/ETL activities. • Data Extraction & Transformation (10%): Create sophisticated data collection frameworks for structured and unstructured data. Apply advanced ETL/ELT techniques to connect large, diverse datasets. • Analytics & Quality Control (5%): Execute quantitative analyses to translate data into actionable insights. Design and manage strict quality control procedures across multiple systems. • Professional Development (5%): Maintain state-of-the-art practices by participating in professional societies and benchmarking new technologies. Required Qualifications • Education: Bachelor s degree in Computer Science or IT. In lieu of a degree, 4 additional years of relevant experience is required. • At Least 10 years Experience in leading data engineering and cross functional team to implement scalable data platforms for optimal performance. • Experience developing and updating ETL/ELT scripts. Hands-on experience with application development, relational database layout, development, data modeling. • Data Engineering on AWS platform preferably leveraging S3, Kafka, Redshift and other AWS services., at least 3 years • ETL/Data Integration Design and Development experience using Java/Scala, Spark preferably on Cloudera Platform .,couple of projects • Knowledge and understanding of SQL ., Expert • Strong Java Programming with enterprise scale experience ( using Git,Artifactory and other DevOps tools) • Knowledge and understanding of database design and implementation concepts. , Expert • Knowledge and understanding of data exchange formats., Expert • Knowledge and understanding of data movement concepts, Expert • Strong technical and analytical and problem solving skills to troubleshoot to solve a variety of problems., Expert • Requires strong organizational and communication skills, written and verbal, with the ability to handle multiple priorities., Expert • Able to effectively provide direction to and lead technical teams., Expert