Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Employment terms need review — employment source
We offer competitive compensation tailored to your experience, location, and the impact you’ll make. We’re committed to equitable pay and will share a range aligned to your level and geography during the hiring process. In accordance with state law, candidates in jurisdictions such as CA, CO, WA, NY, and others where applicable, will be provided a good-faith salary range upon request and through the hiring process. This is a full-time, exempt position under the Fair Labor Standards Act (FLSA), and is not eligible for overtime pay. Compensation for this position is provided on a salaried basis and is not subject to reduction based on hours worked. At Spear AI, you'll find more than just a job—you'll join a mission-driven team where your work directly contributes to national security. Our flat organizational structure means your voice matters, your ideas reach leadership, and your impact is visible. As we grow, we're committed to building robust processes and infrastructure that support both our mission and our people. We value collaboration, continuous improvement, and the expertise each team member brings to the table. If you're looking for a place where you can grow professionally while working on projects that truly matter, we'd love to hear from you.
Employment type Full-Time
Read the full posting

What you’ll work on

Develop and maintain ETL/ELT pipelines for processing large-scale datasets
Maintain documentation for data flows, transformations, and pipeline architectures
Design data models and schemas optimized for AI/ML workloads

From the employer’s posting

Key Responsibilities Develop and maintain ETL/ELT pipelines for processing large-scale datasets Design data models and schemas optimized for AI/ML workloads

Troubleshoot data pipeline issues and implement performance improvements Maintain documentation for data flows, transformations, and pipeline architectures Support data governance initiatives and ensure compliance with data handling policies

Develop and maintain ETL/ELT pipelines for processing large-scale datasets Design data models and schemas optimized for AI/ML workloads Implement data quality monitoring and validation frameworks

What you’ll bring

All qualifications

Core experience

5+ years of experience in data engineering or related field
Proficiency in Python, SQL, and data processing frameworks (Apache Spark, Kafka, etc.)
Experience with cloud platforms (AWS preferred, Azure, GCP) and containerization technologies
Knowledge of data warehousing concepts and modern data stack tools
Understanding of version control systems and CI/CD practices

Qualification wording

5+ years of experience in data engineering or related field

Proficiency in Python, SQL, and data processing frameworks (Apache Spark, Kafka, etc.)

Experience with cloud platforms (AWS preferred, Azure, GCP) and containerization technologies

Knowledge of data warehousing concepts and modern data stack tools

Understanding of version control systems and CI/CD practices

Tools in this posting

Python
SQL
AWS
Azure
Google Cloud (GCP)
Kafka
Spark

Source

- Active TS/SCI clearance with ability to obtain CI Polygraph - Proficiency in Python, SQL, and data processing frameworks (Apache Spark, Kafka, etc.) - Experience with cloud platforms (AWS preferred, Azure, GCP) and containerization technologies

- Proficiency in Python, SQL, and data processing frameworks (Apache Spark, Kafka, etc.) - Experience with cloud platforms (AWS preferred, Azure, GCP) and containerization technologies - Knowledge of data warehousing concepts and modern data stack tools

- Understanding of version control systems and CI/CD practices - AWS experience highly preferred but not required - Military experience strongly preferred

Benefits in the posting

Full benefits wording

Unlimited PTO – Take the time you need to recharge and maintain work-life balance
Dedicated Sick Time – Your health and wellbeing come first
Comprehensive Health & Benefits – Medical, dental, and vision coverage to keep you and your family protected
11 Paid Holidays – Enjoy time off throughout the year to celebrate and spend with loved ones
Additional Benefit Opportunties when you choose Spear AI
401(k) with company match
Relocation assistance (position dependent)
Referral bonuses
Performance bonuses
Life insurance and disability coverage
Technology home office setup stipend
Professional certification reimbursement
This is a full-time, exempt position under the Fair Labor Standards Act (FLSA), and is not eligible for overtime pay. Compensation for this position is provided on a salaried basis and is not subject to reduction based on hours worked.
Employment type
Full-Time

From the employer’s posting.

Job description

View original posting ↗

Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions that support our nation's security. As we expand, we're building a culture where innovation meets mission-critical work. We operate with a flat organizational structure that empowers every team member to make an impact, collaborate directly with leadership, and contribute to projects that matter. Whether you're joining our Hardware, Software, or Services division, you'll work alongside talented professionals who are committed to excellence and advancing the capabilities that keep our nation safe and secure.

Designs, develops, and maintains scalable data pipelines and infrastructure to support enterprise AI/ML operations. Works with structured and unstructured data sources to ensure reliable data flow for chatbot training and operational analytics. Opportunity to work on real-world projects that directly impact warfighter capabilities and mission success.

Key Responsibilities

Develop and maintain ETL/ELT pipelines for processing large-scale datasets
Design data models and schemas optimized for AI/ML workloads
Implement data quality monitoring and validation frameworks
Collaborate with AI engineers to understand data requirements and optimize data delivery
Troubleshoot data pipeline issues and implement performance improvements
Maintain documentation for data flows, transformations, and pipeline architectures
Support data governance initiatives and ensure compliance with data handling policies

Qualifications

5+ years of experience in data engineering or related field
Active TS/SCI clearance with ability to obtain CI Polygraph
Proficiency in Python, SQL, and data processing frameworks (Apache Spark, Kafka, etc.)
Experience with cloud platforms (AWS preferred, Azure, GCP) and containerization technologies
Knowledge of data warehousing concepts and modern data stack tools
Understanding of version control systems and CI/CD practices
AWS experience highly preferred but not required
Military experience strongly preferred

What We Offer

Unlimited PTO – Take the time you need to recharge and maintain work-life balance
Dedicated Sick Time – Your health and wellbeing come first
Comprehensive Health & Benefits – Medical, dental, and vision coverage to keep you and your family protected
11 Paid Holidays – Enjoy time off throughout the year to celebrate and spend with loved ones
Professional Development – Educational opportunities and resources to help you grow your skills and advance your career
Collaborative Environment – Work directly with leadership in our flat organizational structure where your ideas and contributions matter
Mission-Driven Work – Contribute to projects that directly support national security and make a real-world impact
Growth Opportunities – Join us during an exciting expansion phase where you can help shape our future

Additional Benefit Opportunties when you choose Spear AI

401(k) with company match
Onsite / Remote / Flexible work arrangements or hybrid options (position dependent)
Relocation assistance (position dependent)
Referral bonuses
Performance bonuses
Life insurance and disability coverage
Technology home office setup stipend
Professional certification reimbursement

We offer competitive compensation tailored to your experience, location, and the impact you’ll make. We’re committed to equitable pay and will share a range aligned to your level and geography during the hiring process. In accordance with state law, candidates in jurisdictions such as CA, CO, WA, NY, and others where applicable, will be provided a good-faith salary range upon request and through the hiring process.

This is a full-time, exempt position under the Fair Labor Standards Act (FLSA), and is not eligible for overtime pay. Compensation for this position is provided on a salaried basis and is not subject to reduction based on hours worked.

At Spear AI, you'll find more than just a job—you'll join a mission-driven team where your work directly contributes to national security. Our flat organizational structure means your voice matters, your ideas reach leadership, and your impact is visible. As we grow, we're committed to building robust processes and infrastructure that support both our mission and our people. We value collaboration, continuous improvement, and the expertise each team member brings to the table. If you're looking for a place where you can grow professionally while working on projects that truly matter, we'd love to hear from you.

Employment type

Full-Time

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Source & posting history

View original posting ↗

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Source excerpts

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Pay: No pay amount identified in the saved description.
Location & working pattern: Bolling, AFB, DC
- 401(k) with company match - Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) - Relocation assistance (position dependent)
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at jobs.lever.co ↗Read the full description ↓

Status in our records: Active
First seen by us: Apr 15, 2026
Recorded sightings: 90
Last seen by us: Oct 7, 2026
Employer says posted: Oct 20, 2025

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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Data Engineer - Mid