[Hiring] Senior Data Software Engineer @PsiQuantum
Mar 28, 2025 - PsiQuantum is hiring a remote Senior Data Software Engineer. đź’¸ Salary: unspecified. đź“ŤLocation: USA.
Role Description
We seek a Senior Data Software Engineer with deep expertise in data engineering to architect, build, and maintain scalable, flexible data pipelines and systems that support critical quantum software applications. These pipelines will enable classical pre-processing on high-performance computing (HPC) platforms and other data-intensive operations. In this hands-on role, you will bridge engineering and scientific research—gathering and analyzing requirements, collaborating with scientists to understand existing data operations, and using that knowledge to build foundational data infrastructure and frameworks. You will champion engineering excellence and design-first thinking across the department, while partnering with Product and other software engineering teams to establish robust data architecture and systems.
You’ll have the opportunity to:
- Collaborate with key stakeholders to gather requirements, incorporate feedback, and produce engineering design documents that unify user and system needs.
- Build and own critical data infrastructure using modern data technologies (e.g., Databricks, AWS Glue/Athena, AWS Redshift, Snowflake) to enable secure, large-scale operations.
- Champion data engineering best practices by automating data workflows and implementing proactive monitoring for reliability and performance.
- Partner with cross-functional teams (QA, Product, Engineering) to ensure compliance, scalability, and high availability of the data platform.
Responsibilities
- Develop and refine data processing pipelines to handle complex scientific or computational datasets.
- Design and implement scalable database solutions to efficiently store, query, and manage large volumes of domain-specific data.
- Refactor and optimize existing codebases to enhance performance, reliability, and maintainability across various data workflows.
- Collaborate with cross-functional teams (e.g., research scientists, HPC engineers) to support end-to-end data solutions in a high-performance environment.
- Integrate workflow automation tools, ensuring the smooth operation of data-intensive tasks at scale.
- Contribute to best practices for versioning, reproducibility, and metadata management of data assets.
- Implement Observability: Deploy monitoring/logging tools (e.g., CloudWatch, Prometheus, Grafana) to preempt issues, optimize performance, and ensure SLA compliance.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 8+ years in Data Engineering with hands-on cloud and SaaS experience.
- Proven experience designing data pipelines and workflows, preferably for high-performance or large-scale scientific computations.
- Strong knowledge of database design principles (relational and/or NoSQL) for complex or high-volume datasets.
- Proficiency in one or more programming languages commonly used for data engineering (e.g., Python, C++, Rust).
- Hands-on experience with orchestration tools such as Prefect, Apache Airflow, or equivalent frameworks.
- Hands-on experience with cloud data services, e.g. Databricks, AWS Glue/Athena, AWS Redshift, Snowflake, or similar.
- Excellent teamwork and communication skills, especially in collaborative, R&D-focused settings.
Preferred Qualifications
- Knowledge and experience with containerization and orchestration tools such as Docker and Kubernetes and event-driven architectures.
- Knowledge of HPC job schedulers (e.g., Slurm, LSF, or PBS) and distributed computing best practices is a plus.
- Experience with Infrastructure as Code (IaC) tools like Terraform, AWS CDK, etc.
- Deployed domain-specific containerization (Apptainer/Singularity) or managed GPU/ML clusters.
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| đź“Ť | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
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Salary
đź’¸
unspecified
|
Remote
Location
USA
|
|
Job Type
unspecified
|
Posted
Mar 28, 2025
|
| đź“Ť | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
