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Leidos is seeking an experienced Data Engineer/Architect to design a data foundation for generative AI applications, including RAG, and enable analytics across diverse data sources. The role combines architecture with hands-on development using Python and/or JavaScript.
Candidate scope is across experience levels, with compensation aligned to background. Remote work is available for this position, with US citizenship and Top Secret eligibility required.
Location: Remote
Clearance Required: US Citizenship; Ability to obtain Top Secret clearance
Leidos has an exciting opportunity for an experienced Data Engineer/Architect to support the design of a new data foundation. This foundation will support generative AI applications, including retrieval-augmented generation (RAG), and enable analysis of diverse data sets. Looking for an engineer with strong architectural and hands-on development skills who can define the foundation (tools, schemas, and ontologies) and document that definition so that software engineers can implement, and management can understand the capabilities that the foundation can support.
This role is open to candidates across a range of experience levels. The scope of the position and corresponding compensation will be aligned with the selected candidate's background and expertise.
Please be advised that during the interview, you will be required to keep your camera on, and your interviewer will be taking your picture for identification purposes if an offer letter is extended to you.
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Pay Range $107,900.00 - $195,050.00
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.