Data Modeler/ Engineer

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 a mission you want to be a part of, keep reading!

The Health and Civil Sector uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers’ mission in advancing biomedical research and protecting public health. Our team’s focus is ensuring our health customers have the right solutions to keep pace with an ever-evolving public health landscape and prevent the next public health crisis.  To explore and learn more, click here!

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Job Description

Leidos’ The Health and Civil Sector is seeking a dynamic, mission-centric hands-on Data Modeler/ Engineer to support a federal agency’s large, mission-critical enterprise environment.  The candidate must possess strong communications skills and the demonstrated ability to convey technical concepts to non-technical audiences.

Role is open to primarily telecommute – MUST BE:

located in the United States for the current three consecutive years.

Preference to local candidates to the DC Metro area for onsite customer meetings.

Primary Responsibilities

• Design and maintain the core data model within Microsoft Dataverse, ensuring it meets current and future business requirements.
• Collaborate with development teams to understand their data modeling needs, providing expert guidance and solutions to support application development.
• Design, implement, and document data architecture that consolidates data from diverse sources for analytical processing and data visualization purposes.
• Design data models and develop data dictionaries to turn complex data into usable systems/solutions
• Create conceptual, logical and physical data model to identify key business entities and visualize their relationships.
• Analyze business needs to translate them to data models and work closely with Development teams, Data Architects and other SMEs
• Conduct data profiling/analysis activities to aid create, modify and maintain data models.
• Develop standards and best practices and maintain consistency with the systems
• Work closely with data engineers and BI developers to facilitate the seamless flow of data to BI tools for dashboard a report creation.

Basic Qualifications

• Active Public Trust Clearance or Ability to obtain a Public Trust Clearance
• Requires BS degree and 8-10+years of prior relevant experience. 

• 8+ years of experience with designing data models, databases
• 4+ Years of experience with developing solutions in Azure, AWS cloud environments
• 8+ Years of experience with relational databases.
• 2+ Years of experience with Microsoft Dataverse (Power Platform), including its data structures, API and integration capabilities.
• Proficient in SQL, NoSQL database technology, with hands-on experience in database design, query optimization and performance tuning.
• ML, Data science experience will be a plus but not required.

Preferred Qualifications/Skills

• ITIL Foundations certification (or ability to obtain 3 months after start date).

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Original Posting Date:

2024-05-24

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.

Pay Range:

Pay Range $101,400.00 – $183,300.00

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.