Senior Python Developer – Data Visualization & AI Integration

Company Description

Utah Tech Labs (UTL) specializes in digital transformations, offering technology solutions that help businesses build their digital vision. By turning IT into a strategic asset, UTL enables organizations to operate as autonomous enterprises. Their expertise extends to addressing business challenges in automation, service management, and operations. UTL is driven by a forward-thinking approach to deliver sustainable innovation.

Role Description

Senior Python Developer

architecting intelligent data experiences

Qualifications

• Hands-on experience with

  Tableau, Power BI or AI-powered BI tools

  .
• Experience creating

  custom AI dashboards or conversational data assistants

  .
• Contribution to

  open-source Python or data visualization projects

  is a plus.

Required Skills & Experience

• 5+ years

  of professional experience in Python development (Pandas, NumPy, FastAPI, Flask).
• Proven experience connecting Python applications to

  data warehouses or analytical databases

  .
• Expertise in

  data visualization frameworks

  such as Plotly, Dash, Streamlit, or Matplotlib.
• Solid understanding of

  SQL, data modeling, and ETL pipelines

  .
• Experience with

  AI/ML integration

  — building or consuming AI APIs for analytics or automation.
• Familiarity with

  cloud platforms

  (AWS, GCP, or Azure) and

  containerized deployments (Docker, Kubernetes)

  .
• Strong understanding of

  data security, governance, and performance optimization

  .
• Excellent communication skills and ability to collaborate across technical and business teams.

Key Responsibilities

• Design, develop, and maintain

  Python-based data pipelines

  to connect and query enterprise

  data warehouses

  (e.g., Snowflake, BigQuery, Redshift, or Azure Synapse).
• Build

  interactive and visually rich dashboards

  using market-standard frameworks such as

  Plotly Dash, Streamlit, Power BI API, or Tableau Python Integration

  .
• Develop

  AI-assisted data models

  that extract patterns, predict trends, and generate natural-language summaries of business insights.
• Collaborate with data engineers, analysts, and business leaders to

  translate analytical needs into scalable Python applications

  .
• Optimize data retrieval and visualization performance for

  large, multi-source datasets

  .
• Maintain

  code quality, reusability, and documentation

  following enterprise software development standards.