Senior Data Engineer

Our client is a large government contractor with multiple multi-year contract vehicles throughout the federal government. Job Description:Our client has an opening for a Data Engineer with a strong background in data analytics to support an exciting software development program. In this role, you will work alongside various business process stakeholders and application developers to provide data necessary for decision support tools across an array of operational functions. The ideal candidate will have solid core skills and proven history in implementing appropriate modeling and data science strategies required to address customer needs. This role requires a strong foundation in Data Science concepts, Python programming experience, and the ability to work in fast-paced collaborative development teams.Primary ResponsibilitiesConducting data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis to transform data into narrative products for informed decision making.Designing and building data management systems, collaborating with data users to optimize architectures and systems.Selecting and configuring backend database technologies and optimizing scalable, efficient data pipelines to ingest, process, and transform structured and unstructured data infrastructure for intelligence needs.Implementing automated processes for integrating various datasets, conducting scalable data research, and developing scripts to handle data efficiently.Collaborating with collection managers and computer scientists to design new data processes and generate algorithms for automated collection strategiesParticipating in briefings, meetings, conferences, and working groups to provide advice and resolve issues as requested by the Government.Support multiple simultaneous projects and take open-ended or high-level guidance, independently and collaboratively make discoveries that are mission-relevant, and package and deliver the findings to a non-technical audience.Basic QualificationsBachelors degree and 6-8 years of relevant experience in Statistics, Mathematics, Data Analytics, or a related analytical fieldStrong understanding of data modeling, data warehousing, and database design principlesSkilled in relational databases, SQL, and API-based data queryingExperience developing predictive algorithms, image classifiers, object detectors, and othersProficiency in data visualization and graphical applications (PowerBI, etc)Experience with major data science languages such as R and PythonAbility to manage and merge disparate data sources using R, Python, or SQLPreferred QualificationsExceptional coordination and collaboration skillsTrack record of active learning and creative problem solvingFamiliarity using GIT, SVN, Jira, or other version control technologiesExperience with Azure cloud data analytics toolsUS Citizenship is required, and the ability to obtain Public Trust Clearance.All candidates must reside in the continental US and be able and willing to occasionally attend meetings in the great Washington DC area. That being said, the majority of the work can be done remotely. Candidates at Eastern Standard time preferred.Please respond with your resume, your compensation requirements, and why you believe you would be a good fit for this position.PLEASE NO AGENCIES!About AAJ Interactive Technologies:AAJ Interactive Technologies, established in 1997 by cutting-edge technology executives, is a technology professional-services company supplying project-based consulting, staff augmentation, and recruiting services to leading firms throughout Metropolitan Washington, DC area.We work differently from most of our competition. In our careers, we have been the ones doing the hiring (managing and mentoring large staffs in a corporate culture), and we have been the ones being hired (consulting in small and large roles alike). This unique perspective allows us to understand both sides of this business. We take the time to ensure our consultants/candidates will be successful where they are placed.We believe that because of our principles we have succeeded where others have failed. The recruiting/technology space can be full of companies that are not really looking out for your interests – ask around … we’re not one of them! We want you to succeed, and we’ll do everything we can to help you do just that!