Responsibilities
Design, build, and operate ETL/ELT and high-throughput ingestion pipelines connecting acquisition software, processing code, metadata registries, object storage, and databases
Own the data layer end-to-end: schema design, indexing, query optimization, migrations, backups, and durable data models that hold up over years of scientific work
Improve reliability, scalability, observability, and performance across the data stack, and lead troubleshooting/incident response when things break
Build tools with and to help researchers and our in-house AI agents discover datasets, inspect processing state, and safely diagnose or rerun failed jobs
Productionize research code — testing, packaging, deployment, monitoring, documentation
Partner with data acquisition, infrastructure engineering, scientific analysis and AI modeling teams.
Preferred Qualifications
Strong proficiency in Python and SQL
Experience with relational and NoSQL databases, as well as object storage (e.g., S3, MinIO, Ceph)
Experience designing, building, and operating production ETL/ELT pipelines
Experience designing durable data models and schemas for complex, evolving datasets
Experience building high-throughput ingestion systems and optimizing data movement across storage, compute, and network boundaries
Experience with Docker and container orchestration platforms such as Kubernetes
Strong communication skills and experience working in cross-functional teams
Experience designing APIs or service interfaces used by multiple teams
Experience with scientific computing and large-scale neuroscience or other scientific data
Workflow orchestration experience with Airflow, Dagster, Prefect, or similar tools
Experience in building pipelines with and for autonomous, agentic AI systems
Experience with performance-critical compiled or systems languages (C, C++, or Rust)
Familiarity with data provenance and lineage tracking, metadata catalogs, or dataset versioning
As part of your application, please submit the following two separate attachments:
Cover Letter - Please provide a cover letter describing your interest in joining our lab and the position.
Technical Experience Responses - In a separate document, please answer each of the questions below in a few sentences. Please upload your responses as a single, separate attachment to your application.
Please describe your experience working with SQL and NoSQL databases.
Please describe you experience operating ETL/ELT data pipelines.
Please describe your experience with orchestration tooling such as Kubernetes and Ray.
You’ll Thrive in This Role If You
Are excited by a fast-paced, production-focused research environment that often requires switching between many hats
Can move quickly without sacrificing rigor
Care about making complex workflows reliable and easy to use
Enjoy translating ambiguous research needs into pragmatic technical systems
Take ownership across design, implementation, deployment, and operations
Enjoy collaborative design and working closely across team boundaries
Are energized by working as part of a cohesive team pursuing ambitious, long-term neuroscientific and AI goals
What We Offer
A highly collaborative environment across neuroscience, engineering, and AI
Opportunity to contribute to a next-generation neurotechnology platform
Competitive salary and benefits
Strong mentoring and career development support
Core Duties
- Conceptualize design, implement, and develop solutions for
- complex systems/programs.
- Work with a variety of users to gain information, and develop
- intra-system tradeoffs between different users, as necessary; interact
- with a diverse client base and outside vendor contacts.
- Document system builds and application configurations; maintain
- and update documentation as needed.
- Provide technical analysis, design, development, conversion, and
- implementation work.
- Work as a project leader, as needed, for projects of moderate
- complexity.
Serve as a technical resource for applications.
- Compare, evaluate, and implement new features and technologies,
- and integrate them into the computing environment.
Follow team software development methodology.
Mentor junior software developers.
Minimum Education and Experience
- Bachelor's degree and five years of relevant experience, or a
- combination of education and relevant experience.
Knowledge, Skills and Abilities
- Expertise in designing, developing, testing, and deploying
- applications.
Proficiency with application design and data modeling.
- Ability to define and solve logical problems for highly technical
- applications.
- Effective communication skills with both technical and
- non-technical clients.
- Ability to lead activities on structured team development
- projects.
- Ability to select, adapt, and effectively use a variety of
- programming methods.
Knowledge of application domain.
