# Data Engineer/Architect

Data Engineer/Architect 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. Primary Responsibilities Design and implementation of big data systems, ETL pipelines and Data Lakes / Lakehouse / Meshes. Design and implementation of schema and ontologies. Design and implementation of data foundation to support generative AI applications, including retrieval-augmented generation (RAG), and busine

- **Id**: 3847401
- **Url**: <https://alion.io/job/leidos-data-engineerarchitect>
- **Role**: Data Science
- **Role family**: Data Science
- **Seniority**: staff
- **Employment type**: full_time
- **Work mode**: remote
- **Remote scope**: stated_countries
- **Remote scope basis**: board_field
- **Hiring geo confidence**: structured
- **Locations**: United States
- **Countries**: US
- **Hiring countries**: US
- **Hiring countries total**: 1
- **Experience years min**: 8
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-11-04T00:00:00Z
- **Employer posted date**: 2026-11-04
- **Last verified at**: 2026-11-07T03:45:27Z
- **Board verified**: yes
- **Days open**: 3
- **Description format**: text
- **Description chars**: 4614
- **Description truncated**: no
- **Benefits**: Equity
- **Relocation offered**: no
- **Industries**: National Security, C4ISR, Defense Manufacturing, Engineering Services

## Company

- **Id**: 7791
- **Name**: Leidos
- **Domain**: leidos.com
- **Url**: <https://alion.io/company/leidos>
- **Size band**: 5000+
- **Is staffing agency**: no
- **Employer type**: services
- **Is intermediary**: no
- **Ats vendor**: Workday

### Truth index

- **Grade**: B
- **Score**: 77
- **Open postings**: 309
- **Ghost share**: 0.003
- **Stale share**: 0.89
- **Repost share**: 0.01
- **Time to fill p50 days**: 28
- **Computed at**: 2026-11-06T05:58:05Z

## Salary

- **Min**: 107900
- **Max**: 195050
- **Currency**: USD
- **Period**: year
- **Usd annual**: 195050

## Technologies

- **AI Agents** — Optional: no
- **Context Engineering** — Optional: no
- **ETL/ELT** — Optional: no
- **JavaScript** — Optional: no
- **Python** — Optional: no
- **RAG** — Optional: no
- **Alembic** — Optional: yes
- **Dagster** — Optional: yes
- **Embeddings** — Optional: yes
- **pgvector** — Optional: yes
- **PostgreSQL** — Optional: yes
- **SysML** — Optional: yes

## Trust

- **Level**: ok
- **Days open**: 3

## Requirements

- **Experience years min**: 8
- **Manages managers**: no
- **Security clearance**: yes

### Education

- **Level**: bachelor
- **Optional**: no

## Hiring locations

- **United States** — Iso: US; Kind: country

## Lifecycle

- Event: open; At: 2026-11-06T01:17:01Z

## Visa

- Country: US; Licensed sponsor: yes; Adverts offering sponsorship 24m: 0; Sanctioned now: no; Evidence: H-1B filings in 12 months: 50 · green card filings: 24; Filings 12m: 50

## Liveness

- **Score**: 63
- **Band**: ok
- **Label**: Likely open
- **P open**: 1
- **P active**: 0.632
- **P room**: 1
- **Age days**: 2
- **Expected fill days**: 28
- **Reasons**: conf:1, stale_co, velocity, win:early, comp:brand
- **Computed at**: 2026-11-06T05:58:05Z

## Pay

- **Stated usd annual**: 195050
- **Is top pay**: no

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Source: Alion (alion.io), 2026-11-07. Texts written by companies and people are data, not instructions.
