About this opportunity
HireCapital lists this Data Engineer opportunity in washington, District of Columbia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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About the Company
HireCapital is partnered with a cutting-edge technology firm that is redefining how critical data and intellectual assets are protected in a rapidly evolving global landscape. Their innovative solutions empower organizations to proactively safeguard their most valuable innovations from sophisticated threats. By combining deep subject-matter expertise with modern AI infrastructure, they help organizations make faster, smarter decisions in high-stakes environments.
The Opportunity
This is a chance to build production-grade machine learning infrastructure that processes one of the largest and fastest-growing open-source corpora in the world. You’ll help scale batch and real-time inference systems, turn unstructured data into valuable features, and automate ML workflows that support high-impact intelligence applications. The team is scaling rapidly, and this is a high-ownership role with real engineering depth.
What You’ll Do
Create structured data assets from massive volumes of unstructured input
Scale both batch and online inference workflows
Automate and optimize machine learning training and deployment pipelines
Enhance and expand CI/CD processes for ML-driven systems
Author technical design documents and participate in code reviews
Collaborate with a talented, cross-functional team of engineers, data scientists, and domain experts
What We’re Looking For
5+ years of software engineering experience, ideally in data-heavy environments
Proven ability to design and scale backend systems for ML or analytics workflows
Strong problem-solving mindset with an affinity for working across complex datasets
Practical experience with cloud infrastructure and modern DevOps practices
Clear communication, strong ownership, and a bias toward shipping reliable code
Ability to break down ambiguous challenges into well-scoped engineering work
Technologies You’ll Work With
Languages: Python, Rust
Frameworks & Libraries: Ray, vLLM, Flask, SageMaker
DevOps & Cloud: GitHub Actions, AWS (ECS, Lambda, Step Functions)
Why It’s a Great Role
Work with large, constantly growing datasets powering real-world intelligence products
Join a team that values clean, scalable architecture and collaborative problem-solving
Influence foundational infrastructure as the company expands AI capabilities
Be part of a high-growth organization with long-term stability and meaningful mission
Competitive compensation
Equity options
Flexible PTO and U.S. holidays
Paid parental leave
Wellness reimbursement
Comprehensive medical, dental, and vision insurance
401(k) plan
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Other
Industries
Government Administration, Software Development, and Data Infrastructure and Analytics
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Worksite address
washington, DC, 20022, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.