Senior/Staff Software Engineer, Data Engineering Team
New
T
The Voleon GroupFinTech
Remote, United StatesFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- DockerPostgreSQLPythonJavaKubernetesC++AirflowGoRedisLinux
Requirements
- Computer Science / Engineering bachelor’s degree (or equivalent)
- 5+ years of relevant software engineering experience
- Proven track record of software design and implementation with focus on correctness, robustness, efficiency, and scale
- Experience working with large codebases and building modular, extensible, and maintainable software
- Expertise in a modern programming language, such as Python, Go, Java or C++
- Hands-on experience developing in a Linux/UNIX environment
- Design and implementation of scalable services, highly-available systems, and/or robust data infrastructure
- Strong communication skills and a knack for explaining complex ideas with clarity and simplicity
- Familiarity with data storage and management technologies (e.g. PostgreSQL, Artifactory, Ceph, Redis)
- Familiarity with cluster management and containerization technologies (e.g. Kubernetes, Docker)
- Familiarity with job scheduling and orchestration technologies (e.g. Airflow, Slurm)
Responsibilities
- Contribute to scaling and advancing the entire data operation.
- Procure and ingest new datasets.
- Enable the use of data in research and production environments.
- Build data-related systems and tooling.
- Collaborate closely with various teams to facilitate data consumption.
- Lead complex projects from start to finish, including gathering requirements, creating robust software designs, and communicating effectively.
- Provide technical guidance to engineering and research staff.
- Provide mentorship and support to help grow teammates and up-level the team.
- Engage and collaborate in diverse software development work, including design and implementation of data processing technologies, sourcing and delivery systems and pipelines, and development of data related tools and libraries.
- Support trading operations and promote research effort through reliable delivery of high-quality data.
- Build scalable and robust ingestion and distribution systems, and fault-tolerant production-critical pipelines.
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