Leidos is looking for a Data Engineer to support a high-impact DHS software development program, aiming to build data systems, analytics workflows, and predictive tools to drive decision-making across key operational functions.
Requirements
- Strong background in data modeling, data warehousing, and database design.
- Experience with relational databases, SQL, APIs, and backend data architectures.
- Skilled in Python and/or R for analytics, modeling, and data manipulation.
- Experience developing predictive models, classifiers, and statistical methods.
- Ability to merge disparate data sources and build scalable pipelines.
- Data visualization experience (Power BI, etc).
- Experience with Git, SVN, Jira, or related tools.
Responsibilities
- Conduct data engineering, data analytics, data mining, exploratory and predictive analysis.
- Build scalable data management systems and collaborate with users to optimize architectures.
- Select backend database technologies and develop pipelines for structured + unstructured data.
- Automate ingestion, transformation, and processing workflows using Python, R, or SQL.
- Develop scripts and tools to integrate, clean, and merge disparate datasets.
- Partner with collection managers and engineers to design new data processes and automation strategies.
- Provide mission-relevant insights to non-technical stakeholders through clear narrative outputs.
Other
- 6–8 years experience in Statistics, Mathematics, Data Analytics, or related field.
- US Citizenship + ability to obtain/maintain Public Trust clearance.
- Support multiple projects simultaneously, working independently and collaboratively in fast-paced teams.
- Participate in briefings, working groups, and discussions to support Government stakeholders.
- Strong collaboration, communication, and problem-solving ability.
