Data Engineer & Computer Scientist — AI-Driven Analytics

Los Alamos National Laboratory

Los Alamos (NM)

On-site

USD 96,600 - 176,000

Full time

14 days+
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Benefits offered by this job

Health insurance
Dental and vision
Paid parental leave
401(k) with matching
Tuition assistance

Job summary

Los Alamos National Laboratory is seeking a Database Engineer/Computer Scientist to modernize surveillance and predictive analytics through scalable data infrastructure and AI-enabled technologies. The role will be filled at Scientist 1 or 2 level based on candidate skills, with responsibilities expanding at higher level.

The position emphasizes relational/non-relational databases, data modeling, SQL/Python data pipelines, and collaboration across engineering, science, analytics, and software

Qualifications

  • Experience designing, developing, managing, or optimizing relational and/or non-relational database systems, including data modeling, schema design, query development, indexing, and performance tuning.
  • Proficiency with SQL and Python, with experience developing automated data pipelines, ETL/ELT workflows, data integration processes, or model-ready datasets.
  • Familiarity with AI/ML workflows, predictive analytics environments, feature engineering, or data preparation practices that support advanced modeling and analysis.
  • Experience working with large, complex, or heterogeneous technical datasets, including engineering, scientific, manufacturing, test, surveillance, or system health data.

Responsibilities

  • Support the design, development, and maintenance of database systems for engineering and surveillance data
  • Develop, maintain, or improve data pipelines to ingest, clean, structure, validate, and integrate datasets from multiple sources
  • Support AI/ML and advanced analytics applications by preparing, organizing, and improving datasets for predictive modeling, reporting, or analysis
  • Assist with implementing efficient data storage, retrieval, and query solutions for technical datasets
  • Collaborate with engineers, analysts, and scientists to develop integrated data solutions supporting predictive surveillance and system health monitoring
  • Develop or maintain tools and workflows to correlate data across components, assemblies, and assets
  • Support data integrity, security, accessibility, and long-term maintainability of database systems
  • Support visualization, reporting, and analytical tools that enable actionable technical insight

Skills

SQL
Python
Data pipelines
AI/ML
Data integration

Education

Bachelor's in STEM
Postdoctoral or 4+ years experience

Tools

PostgreSQL
MySQL
MongoDB
Neo4j

Job description

Los Alamos National Laboratory is seeking a Database Engineer/Computer Scientist to modernize surveillance and predictive analytics through scalable data infrastructure and AI-enabled technologies. The role will be filled at Scientist 1 or 2 level based on candidate skills, with responsibilities expanding at higher level.

The position emphasizes relational/non-relational databases, data modeling, SQL/Python data pipelines, and collaboration across engineering, science, analytics, and software

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