Data EngineerHireCapital • Washington, DC, United States
Data Engineer
HireCapital • Washington, DC, United States
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]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 Languages : Python, Rust Frameworks & Libraries : Ray, vLLM, Flask, SageMaker DevOps & Cloud : GitHub Actions, AWS (ECS, Lambda, Step Functions) 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
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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. Youll 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 Youll 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 Were Looking For
Technologies Youll Work With
Why Its a Great Role
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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