Senior Back-End / Full-Stack Engineer - GenAI & Data

Capio-Group-

Sacramento (CA)

On-site

USD 130,000 - 140,000

Full time

4 days ago
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Job summary

Capio Group is seeking an experienced Back-End/Full-Stack Developer to join our Sacramento team on a full-time basis. You will help maintain and advance client Investment Data Warehouse (IDW) platforms, enabling GenBI, AI/ML, and predictive analytics within AWS/Snowflake ecosystems.

You will lead the design and deployment of analytics dashboards, collaborate with cross-functional teams, and ensure adherence to AI governance and security standards.

Qualifications

  • At least 7 years in IT with data/BI focus.

Responsibilities

  • Maintain, enhance, and advance the IDW architecture/platform.
  • Develop analytics dashboards using UI/UX principles with Chainlit, Streamlit, and React.
  • Use OOB services/APIs to accelerate use-case design.
  • Build automated tests for Text-to-SQL accuracy.
  • Lead AI/ML model prototyping with TensorFlow/PyTorch/scikit-learn.
  • Apply SQL, data modeling (Star/Snowflake schema), and dbt for semantic layers.
  • Implement containers/orchestration and CI/CD for ML/data workflows.
  • Monitor, tune, and log AI/ML and GenBI solutions and pipelines.
  • Collaborate with stakeholders and vendor teams; transfer knowledge.

Skills

Back-End development
Full-Stack development
SQL optimization
Data warehousing
ETL/ELT pipelines
CI/CD for ML
Docker/Kubernetes
Cloud data platforms
Power BI / BI tools

Education

Bachelor's degree in CS

Tools

Docker
Kubernetes
Airflow
dbt
Snowflake
Redshift
Terraform
Ansible
TensorFlow
PyTorch

Job description

Capio Group is seeking an experienced Back-End/Full-Stack Developer to join our Sacramento team on a full-time basis. You will help maintain and advance client Investment Data Warehouse (IDW) platforms, enabling GenBI, AI/ML, and predictive analytics within AWS/Snowflake ecosystems.

You will lead the design and deployment of analytics dashboards, collaborate with cross-functional teams, and ensure adherence to AI governance and security standards.

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