Software Engineer, Data

Vola Dynamics LLC

. Design and implement robust, scalable, real-time and historical user-facing data APIs in C++, Python, and Rust .

Posted 9/24/2026full-timeUnited StatesJuniorMid-Level💰 $165,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable, real-time data APIs using Python, C++, and Rust, while employing best practices in software and data engineering. Proficient in deploying and maintaining distributed infrastructure and utilizing orchestration frameworks and containerization technologies.

Highest-signal resume keywords

Python ProgrammingC++ ProgrammingRust ProgrammingAPI Design and DevelopmentContainerization Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data API DevelopmentScalable Systems DesignData Ingestion and TransformationData Analysis and VisualizationAutomated TestingVersion ControlFault-Tolerant SystemsAgent-Driven DevelopmentStreaming AnalyticsNumerical Dataset Debugging

Soft Skills

Clear CommunicationIndependent WorkTeam Collaboration

Tools & Technologies

KubernetesDockerDagsterAirflowPrefectClaude CodeCodex

Industry Keywords

Data ScienceComputer ScienceQuantitative DisciplineProduction Data SystemsDistributed Computing Infrastructure

Tech Stack

Tools & technologies

AirflowCloudDockerJavaKubernetesPythonRustC++

About the role

Key responsibilities & impact

Design and implement robust, scalable, real-time and historical user-facing data APIs in C++, Python, and Rust
Build internal GUIs, TUIs, and other tools for real-time command and control and meta-analytics
Develop scalable systems to ingest, transform, and analyze real-time and historical options market data
Deploy production data systems on distributed computing infrastructure
Architect, build, and maintain the data processing library underpinning streaming analytics
Use AI development tools such as Claude Code and Codex
Own and evolve distributed infrastructure spanning bare-metal servers, self-hosted Kubernetes, and cloud services

Requirements

What you’ll need

BS or MS degree in Computer Science, Physics, Mathematics, Data Science, Engineering, or another quantitative discipline
2–6 years of experience in relevant roles working on production data-oriented systems in Python
Experience designing, building, and maintaining scalable, fault-tolerant user-facing APIs for data-focused services or systems
Hands-on experience deploying orchestration frameworks and containerization technologies such as Dagster, Airflow, Prefect, Docker, or Kubernetes
Skilled at understanding, transforming, analyzing, visualizing, and debugging large numerical datasets
Comfortable using agent-driven development workflows to generate high-quality code
Software and data engineering best practices, including version control, automated testing, and thorough documentation
Clear explanation of thinking in code, review comments, design discussions, and writing
Ability to work independently and as part of a small, hybrid team
Current authorization to work in the US
Professional proficiency in at least one of Python, C++, Rust, Java, or C#

Benefits

Comp & perks

Equity
Performance bonus
Medical insurance
Dental insurance
Vision insurance
401(k)
Paid time off