Software Development & Data Integration Engineer
Job Description Responsibilities: Deliver data environment that enables the integration of data sources such that advanced analytic algorithms can be applied and yield analytic results supporting visualizations to inform senior level decision makers and line level analyst. Perform security integration, auditing, and monitoring in accordance with client standards and processes to include accurate reporting procedures for internal use software expenditures Technical subject matter expertise in software coding and unit level testing, including but not limited to Java, python, Ruby, R. Draw on existing Data Service Architecture (DSA) architecture, security and application requirements/processes, take advantage of lessons learned from previous projects, leverage existing, available client data repositories and services, client Software Development Environment, DevOps processes, EPS data and platform capabilities, DoDIIS available infrastructure (including but not limited to: C2S AWS, GovCloud, VMware, physical systems) and leverage existing client and future environment, tools and services. Perform data analysis against clients data holdings implementing industry best practices such as data mining, predictive analytics, text analytics, or other techniques as appropriate. Provide support for the "data retrograde" tool that provides a solution for sorting out relevant documents from a larger data set and operate, maintain, and update a machine learning data model, rules engine, and workflow within a web application platform that allows a user to curate documents against a binary decision. Provide SMEs experience in Cloud Technologies, AWS/C2S, containers, data layers, micro-services, System Administration, and SQL/NSQL database experience. Qualifications: Must have an active/current TS/SCI and CI Poly. A bachelor's degree or equivalent training. Seven years or more years of specialized experience working on complex data/database projects as a data analyst, data architect, data scientist or database engineer. Produces and reports timely and accurate analyses at the appropriate level of detail to enable business decisions. Support the client with comprehending the context of its program data by extracting qualitative and quantitative relationships, including patterns and trends from large amounts of data and providing analytic support to help inform policy, rational decision-making, and resource allocation. Provide support for IT Strategic implementation, coordination of project management and communications support efforts across a matrixed organization. Company Description Cyber Security firm based in Reston, Virginia. Serving Government and Commercial clients globally.