Data Engineer Expert: ETL, Python, Streamlit & Snowflake

Kforce Inc

Oakland (CA)

On-site

USD 120,000 - 160,000

Full time

23 hours ago
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Job summary

Kforce Inc is seeking a Data Engineer Expert in Oakland, CA to design, develop, and deploy data-driven applications that streamline asset management and enable operational insights for Substation Systems & Tools and related business functions. The candidate will build data pipelines using Python and Streamlit, work with Snowflake, and integrate data from multiple enterprise systems.

The role requires 3-5 years of Python development, 2+ years of Streamlit experience, Snowflake expertise, and

Qualifications

  • 3-5 years of Python development experience.
  • 2+ years of Streamlit application development.
  • Snowflake development experience.
  • Experience designing, developing, and deploying data-driven applications.
  • Experience integrating data from multiple enterprise systems.
  • SQL and database design concepts.
  • ETL/ELT processes and data pipeline development.
  • Data engineering best practices, data quality controls, and data integration patterns.
  • REST APIs and external data sources.
  • Git, version control, and CI/CD practices.
  • Strong analytical and problem-solving skills.
  • Strong communication skills.

Responsibilities

  • Design, develop, and deploy data-driven applications for asset management and operations.
  • Build data pipelines integrating multiple enterprise systems.
  • Leverage Python and Streamlit to create user-friendly data tools.
  • Collaborate with stakeholders to ensure data quality and governance.

Skills

Python development
Streamlit
Snowflake
Data pipelines
Data integration
SQL concepts
ETL/ELT
CI/CD
Git
Analytical skills
Communication

Job description

Kforce Inc is seeking a Data Engineer Expert in Oakland, CA to design, develop, and deploy data-driven applications that streamline asset management and enable operational insights for Substation Systems & Tools and related business functions. The candidate will build data pipelines using Python and Streamlit, work with Snowflake, and integrate data from multiple enterprise systems.

The role requires 3-5 years of Python development, 2+ years of Streamlit experience, Snowflake expertise, and

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