Mission Data Engineer
Washington, DC
- Pay
- Salary not listed in the saved posting
- Work setup
On-site stated — work setup source
Data Engineer – Spear AI Location: On-site, Washington, DC Clearance Required: Secret (active)
Read the full posting- Employment
Full-time — employment source
Clearance Required: Secret (active) Employment Type: Full-time, salaried, benefits-eligible About Spear AI:
Employment type Full-Time
Read the full posting
What you’ll work on
Full postingSpear AI seeks a Data Engineer to build robust, secure data infrastructure supporting the an IC Task Force.
Design and manage secure data pipelines enabling ML and analytics workflows.
Collaborate with mission engineers and data scientists to align infrastructure with operational objectives.
Optimize data processing and storage for real-time and batch operations.
From the employer’s posting
Spear AI seeks a Data Engineer to build robust, secure data infrastructure supporting the an IC Task Force. The role involves creating resilient pipelines to power analytics and decision support systems.
Primary Responsibilities: Design and manage secure data pipelines enabling ML and analytics workflows. Handle data ingestion, transformation, and validation with auditable, secure processes.
Handle data ingestion, transformation, and validation with auditable, secure processes. Collaborate with mission engineers and data scientists to align infrastructure with operational objectives. Optimize data processing and storage for real-time and batch operations.
Collaborate with mission engineers and data scientists to align infrastructure with operational objectives. Optimize data processing and storage for real-time and batch operations. Ensure compliance with DIA’s data governance and cross-domain security standards.
What you’ll bring
All qualificationsCore experience
- 3–7 years in data engineering, preferably within secure, high-side environments.
- Proficiency in Python, Spark, SQL, and data orchestration tools (e.g., Airflow).
- Experience with classified data management, secure networking, and infrastructure optimization.
Preferred experience
- Familiarity with IC standards (UDS, IC ITE) and secure cloud environments (AWS GovCloud, C2S).
Qualification wording
3–7 years in data engineering, preferably within secure, high-side environments.
Proficiency in Python, Spark, SQL, and data orchestration tools (e.g., Airflow).
Experience with classified data management, secure networking, and infrastructure optimization.
Familiarity with IC standards (UDS, IC ITE) and secure cloud environments (AWS GovCloud, C2S).
Tools in this posting
- Python
- SQL
- AWS
- Spark
- Airflow
Source — Tool mentions in context
3–7 years in data engineering, preferably within secure, high-side environments. Proficiency in Python, Spark, SQL, and data orchestration tools (e.g., Airflow). Experience with classified data management, secure networking, and infrastructure optimization.
Preferred Experience: Familiarity with IC standards (UDS, IC ITE) and secure cloud environments (AWS GovCloud, C2S). Strong troubleshooting and optimization skills within complex operational settings.
About Spear-Ai
Spear AI delivers cutting-edge artificial intelligence solutions tailored specifically for maritime defense and national security operations.
In the employer’s words · Read in context
Job description
Employment type
Full-Time
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Washington, DC
Data Engineer – Spear AI Location: On-site, Washington, DC Clearance Required: Secret (active)
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Apr 15, 2026
- Recorded sightings
- 22
- Last seen by us
- Oct 7, 2026
- Employer says posted
- Apr 22, 2025
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.