Posted:
8/2/2024, 9:19:42 AM
Location(s):
Reston, Virginia, United States ⋅ Virginia, United States
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
Data & Analytics
Are you ready to work for a company that not only supports mission critical projects but also prioritizes investing in the growth and development of its employees?
Join us at Leidos, where your most important work is ahead! You will enjoy great benefits such as paid time off (PTO), flexible schedules, discounted stock purchase plans, career growth, education and training support, parental paid leave and more! We celebrate our milestones with chili cooks offs, Pi Day with Pies, group lunches, end of year celebrations, recognition awards and much, much more. You will have the opportunity to work under exceptional industry leadership at every level, where prioritizing employees, and their work, is paramount.
Join our team working on one of our most prestigious programs delivering modern Identity Access Credential Management (ICAM) solutions supporting highly visible applications and building our next generation of applications.
Leidos is looking for Data Engineer to analyze data attributes to be used by the customer for the design of the logical data model. This individual will work with software developers, DBAs, and the security engineering for the collection, storage, protection, and analysis of the data at scale. The objective is to collect diverse data elements into a cohesive, and expandable model to meet the different mission needs of the community. The data engineer will define strategies and capabilities to ensure data quality that can convert raw data elements into standard enumerations. The individual must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.
The data engineer will be required to carry a duty phone on a rotational basis, and may need to come in to address issues that arise with the system.
Primary Responsibilities
The data engineer will support our software developers, database administrators, and business analysts to ensure an optimal data delivery architecture is consistent throughout the system enhancement lifecycle. Some of the tasks the data engineer will be expected to perform when working with data include the following:
Qualifications
Desired Qualifications
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.
Website: https://www.leidos.com/
Headquarter Location: Reston, Virginia, United States
Employee Count: 10001+
Year Founded: 1969
IPO Status: Public
Industries: Computer ⋅ Government ⋅ Information Services ⋅ Information Technology ⋅ National Security ⋅ Software