Full Stack Materials Database Programmer for ML/AI Integration

Argonne National Laboratory

Hybrid

Quick summary

Work type
Hybrid
Location
Lemont, IL
Salary
$69,750–$108,810 / yr
Posted
3 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $215k
This role $89k
$47k most similar roles pay here $284k

This role pays less than 99% of similar roles. Most pay $179,325–$250,062 — the shaded band above. At the midpoint, this role pays about $89k versus about $215k for comparable roles.

Based on 240 similar postings.

Employer

About Argonne National Laboratory

Argonne National Laboratory is a multidisciplinary science and engineering research center sponsored by the U.S. Department of Energy, conducting research in energy, environment, and national security. Industry: Scientific Research & National Laboratories

Argonne National Laboratory currently has 6 open roles on FindRole.

Listed pay typically runs $69,750–$108,810 across 6 roles with salary data.

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View all roles at Argonne National Laboratory

At a glance

TL;DR · Full Stack Materials Database Programmer for ML/AI Integration

As a Full-Stack Database Programmer / Technical Developer at Q-NEXT and the Argonne Quantum Foundry, you will join a dynamic team supporting the development of data infrastructure for materials synthesis and AI/ML frameworks. Your primary responsibilities include designing and implementing robust database schemas to consolidate legacy systems into a unified architecture using LiST codebase models. You will work with post-doctoral researchers, staff scientists, and external partners to develop APIs, dashboards, and data processing workflows, ensuring seamless integration with experimental hardware and real-time data ingestion. The role requires expertise in PostgreSQL, MongoDB, C#, .NET, Python (FastAPI), React, Docker, Kubernetes, Git, and experience with scientific data formats like HDF5 and JSON. This position offers the opportunity to contribute to cutting-edge research in quantum materials and AI-driven discovery at a large-scale laboratory setting.

What you'll do

  • Design and implement robust relational and non-relational database schemas.
  • Develop backend systems using C#, .NET, or Python frameworks like FastAPI.
  • Integrate databases with synthesis and characterization tools for real-time data ingestion.
  • Support automated data pipelines and streaming data ingestion from experimental hardware.
  • Document database structures and software components for project needs.

What we're looking for

  • Experience in developing and maintaining production-grade relational and non-relational databases.
  • Proficiency in full-stack development using backend technologies like C#, .NET, Python (FastAPI), and frontend frameworks such as React or Next.js.
  • Expertise in data integration, including automated data pipelines and interfacing with experimental hardware.
  • Strong communication skills for effective collaboration within interdisciplinary teams.
  • Experience with containerization tools like Docker and Kubernetes, and deploying applications in cloud environments.
  • Knowledge of heterogeneous scientific data formats (HDF5, JSON) and metadata handling.
  • Familiarity with version control via Git and evidence-based software architecture practices.

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