Data Scientist/Engineer

Leidos hiring for Data Scientist/Engineer jobs in McLean, VA, US

Description

Join us at Leidos, where your most important work is ahead!

At Leidos, everything we do is built on our commitment to do the right thing for our customers, our employees, and our communities. Our mission is to make the world safer, healthier, and more efficient through information technology, engineering, and science. 

Leidos employees enjoy great benefits such as paid time off (PTO), flexible schedules, discounted stock purchase plans, career growth, unlimited education and training support, parental paid leave and more! You will have the opportunity to work under the best leadership in the industry at all levels, where supporting their employees and what they do is what matters.

This position requires a current and active TS/SCI with Polygraph security clearance. This position does not have the ability to sponsor candidates for clearance processing.

Our National Security Sector is seeking a Data Scientist/Engineer who can support our client in the development and maintenance of data exploitation platforms which support and enhance the data collection process. Our client applies technical resources for data engineering leveraging enterprise capabilities, where possible, to collect, ingest, format, and enrich open source data.

In this role you will:

• Coordinate with multiple entities, including mission partners, to ensure tools meet defined requirements.
• Apply an agile approach to software development consistent with the client’s project management and software development frameworks with a focus on demonstrating and delivering releasable software every iteration.
• Ensure all security vulnerabilities are addressed as appropriate by severity and maintain security accreditation, including maintaining plan of action for vulnerability remediation.
• Design data pipelines using data ingestion patterns and business requirements; build and deploy data pipelines in a cloud environment; document data flows and data pipeline architectures; perform end-to-end quality assurance of data; and troubleshoot and correct issues with existing data pipelines.
• Apply DevOps principles and philosophies to continuously delivery high value enhancements to software in a service-based architecture; identify and document areas for improvement in workflows or systems for client’s consideration; and maintain all source code in client-wide, remote Git repository.

Basic Qualifications:

• Current/active TS/SCI with Polygraph security clearance.
• Demonstrated experience working in a Unix operating system to include usage of the Unix terminal.
• Demonstrated experience developing and maintaining data transformation scripts in Python.
• Demonstrated experience with writing code in at least one of the following programming languages: Java, Go, C#, or Scala.
• Demonstrated experience ingesting, transforming, modeling, and storing data in cloud environments (e.g., AWS, GCP, or Azure).
• Demonstrated experience with modeling structured, semi-structured, and unstructured data.
• Demonstrated experience working with SQL and NoSQL databases to store and retrieve data (ex. Postgres SQL, MySQL, ElasticSearch, MongoDB).
• Demonstrated experience with strong problem-solving skills and the ability to work in a fast-paced environment.

Preferred Qualifications:

• Demonstrated experience in the following concepts: Database, Data Warehouse, Datalake, and Lakehouse.
• Demonstrated experience with modern data flow management and orchestration tools. For example, Flyte, Apache Airflow, Dagster, or Apache NiFi.
• Demonstrated experience utilizing containerization technologies such as Docker, Podman, Kubernetes, or similar.
• Demonstrated experience ingesting, transforming, modeling, and storing data in the client’s cloud environments (e.g., AWS, GCP, or Azure).
• Demonstrated experience with AI/ML methodologies and techniques

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.