Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. The Data Engineer role involves conducting data analytics and engineering to support decision making for a DHS software development program, requiring collaboration with stakeholders and application developers.
Responsibilities:
- Conducting 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 strategies
- Participating 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
Requirements:
- Bachelors degree and 6-8 years of relevant experience in Statistics, Mathematics, Data Analytics, or a related analytical field
- US Citizen
- Ability to get/maintain Public Trust clearance
- Strong understanding of data modeling, data warehousing, and database design principles
- Skilled in relational databases, SQL, and API-based data querying
- Experience developing predictive algorithms, image classifiers, object detectors, and others
- Proficiency in data visualization and graphical applications (PowerBI, etc)
- Experience with major data science languages such as R and Python
- Ability to manage and merge disparate data sources using R, Python, or SQL
- Exceptional coordination and collaboration skills
- Track record of active learning and creative problem solving
- Familiarity using GIT, SVN, Jira, or other version control technologies
- Experience with Azure cloud data analytics tools