Full Stack Engineer

Job Title: Full Stack Engineer


Location: Vienna, VA, Winchester, VA, and Pensacola, FL


Type: Contract


Contractor Work Model: Hybrid


Hours: 40.0


Responsibilities

• Architects and delivers Full Stack analytics solutions spanning data ingestion, transformation, modeling, and visualization using Cloud and Big Data technologies (Azure, Databricks, SQL, Spark).
• Builds resilient data pipelines and analytical datasets that support descriptive, diagnostic, and advanced analytics use cases, including data science and forecasting models.
• Writes complex SQL and Spark code optimized for scale, governance, and CI/CD deployment.
• Acts as a technical and analytical expert, independently tackling highly complex problems, leading functional initiatives, and translating raw data into trusted insights that improve the performance and decision-making capability of client's analytics ecosystem.
• Provides Data Intelligence and Data Warehousing (DW) solutions and support by leveraging project standards and leading data platforms.
• Designs and operationalizes data science workflows within Databricks, including exploratory analysis, feature engineering, and production-ready analytical datasets integrated into CI/CD pipelines.
• Builds and maintains Azure data pipelines using DevSecOps process.
• Defines and builds data integration processes used across the organization.
• Builds conceptual and logical data models for stakeholders and management.
• Works directly with business leadership to understand data requirements; proposes and develops solutions that enable effective decision-making and drive business objectives.
• Prepares advanced project implementation plans highlighting major milestones and deliverables, leveraging standard methods and work planning tools.
• Documents existing and new processes to develop and maintain technical and non-technical reference materials.
• Recognizes potential issues and risks during analytics project implementation and suggests mitigation strategies.
• Communicates and owns the process of manipulating and merging large datasets.
• Performs other duties as assigned.

• Master’s degree in Information Systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training and experience.
• Expert skill in Databricks.
• Advanced skill in Azure SQL, Azure Data Lake, Azure App Service, Python, T-SQL.
• Experienced in sourcing, maintaining, and updating data in Cloud environments.
• Knowledge of and the ability to perform basic statistical analysis.
• Experienced in the use of ETL tools and techniques.
• Experience designing and building data pipelines using API ingestion and Streaming ingestion methods.
• Demonstrates change management and/or excellent communication skills.
• Understands data warehousing, data cleaning, data quality, data pipelines, and other analytical techniques required for data usage.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

Ref: #851-Rockville-S1