Data Engineer - Mid Security Clearance

Position: Data Engineer - Mid with Security Clearance
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- Description Looking for an opportunity to make an impact?  At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Our Mission, Vision, and Values guide the way we do business.  If this sounds like the kind of environment where you can thrive, keep reading!  The Intel Security Sector delivers technology-enabled services and mission software capabilities for defense and intel customers in the areas of cyber, logistics, security operations, and decision analytics.  Your greatest work is ahead!  The Intel Security Sector at Leidos currently has an opening for a Data Engineer.  

Are you a Data Engineer that likes to work with big data to produce analysis and visualizations? Would you like to support a major program advancing the state of the art in mission-focused big data analytics and predictive analytics? If so, you will be delivering advanced data engineering capabilities to push forward national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to presentations with actionable intelligence insights.

The successful candidate will work on projects to design, develop, and deploy big data analytic and visualization products to support DIA/NDOC OSINT production on behalf of the Defense Intelligence Enterprise (DIE).  This position will be located at one of our customer sites in Bethesda, MD;
Reston, VA; or Joint Base Anacostia-Bolling, DC. Are you ready for your next career challenge? Join a team committed to a Mission!

Responsibilities Include:

* Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to produce and clean large databases, provide data processing, ensure data quality, integrate large data with applications, prepare data visualizations and produce dashboards using state of the art tools, and AI/ML techniques.

* Apply software engineering and ETL principles to ensure data accuracy, quality, consistency, and scalability.  
* Integrate COTS and customer-developed tools within existing data frameworks to meet operational and analytical requirements.  
* Collaborate with Data Ops teams to prepare, automate, and optimize data workflows for real-time analytics.  
* Work on projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more.     
* Support multiple simultaneous projects and take open-ended or high-level guidance, independently and collaboratively.     
* Provide data preprocessing, quality checks, data integration, and visualization creation.  
* Develop dashboards with tools like Tableau or Power BI and apply AI/ML modules to structured and unstructured data analysis.

Clearance Required:

* Active TS/SCI clearance with the ability to obtain and maintain TS/SCI with Polygraph.
Required Experience, Skills, and

Education:

* Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related technical discipline and 4 years of experience. Additional years of experience in lieu of degree are acceptable.
* Candidates with a minimum of 3 years of recent experience in the field will be considered.
* Active TS/SCI clearance with the ability to obtain and maintain TS/SCI with Polygraph.

* Due to the nature of the government contracts we support, US Citizenship is required.
* Experience developing and maintaining data pipelines using modern programming languages (e.g., Python, Java, or similar).  
* Experience working with relational and non-relational databases.  
* Experience performing data ingestion, transformation, and processing tasks.  
* Experience working with data tools and platforms (e.g., Spark, Kafka, Airflow, or similar).  
* Experience operating within Agile or SAFe environments supporting enterprise systems.  

Pref…