Data Engineer(W2)

BayOne Solutions

Oakland (CA)

Hybrid

USD 83,000 - 124,000

Full time

2 days ago
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Job summary

BayOne Solutions is seeking a highly motivated contractor with 3-5 years of experience in Python application development, Streamlit, Snowflake, and data engineering.

The contractor will support the design, development, and deployment of data-driven applications that streamline business processes, improve asset management capabilities, and enable operational insights for Substation Systems & Tools and related business functions.

Qualifications

  • 3-5 years of Python development experience.
  • 2+ years building apps with Streamlit.
  • Strong SQL and database design knowledge.
  • Experience ETL/ELT data pipelines.
  • Knowledge of data quality and data integration patterns.
  • Experience with REST APIs and external data sources.
  • Git, version control, and CI/CD familiarity.
  • Analytical and communication skills.

Responsibilities

  • Design, develop and maintain Streamlit apps on Snowflake.
  • Create Python-based data ingestion, transformation and reporting solutions.
  • Build scalable data pipelines and workflows.
  • Develop dashboards, forms, workflows for business users.
  • Maintain integrations between Snowflake and enterprise systems including SharePoint, SAP, APIs.
  • Collaborate with stakeholders to gather requirements.
  • Support data modeling, quality and governance.
  • Troubleshoot production issues and optimize performance.
  • Participate in Agile ceremonies and produce deployment guides.

Skills

Python
Streamlit
Data engineering
SQL
ETL/ELT
Data governance
REST APIs
Git / CI-CD
Analytical thinking
Communication

Tools

Snowflake
SharePoint
SAP
Git
CI/CD
Airflow
AWS
Azure
GCP

Job description

Local candidates only. The role is hybrid in OGO or San Ramon.


Equipment:

Client laptop will be provided. However, in the event of delay, a personal or vendor-provided device must be ready (Citrix/VDI ready)


Top Things:

Refer to the first 2 paragraphs below from the hiring manager's job description:


Client is seeking a highly motivated contractor with 3-5 years of experience in Python application development, Streamlit, Snowflake, and data engineering. The contractor will support the design, development, and deployment of data-driven applications that streamline business processes, improve asset management capabilities, and enable operational insights for Substation Systems & Tools and related business functions.


The ideal candidate will have experience building data applications using Python and Streamlit, working with Snowflake data platforms, and developing data pipelines that integrate information from multiple enterprise systems. Experience supporting asset management, utility operations, SAP, SharePoint, or engineering workflows is highly desirable.


Responsibilities:


  • Design, develop, and maintain Streamlit applications hosted on Snowflake.

  • Develop Python-based solutions for data ingestion, transformation, validation, and reporting.

  • Create scalable data pipelines and workflows to support business processes and analytics.

  • Build interactive dashboards, forms, workflows, and self-service applications for business users.

  • Develop and maintain integrations between Snowflake and enterprise systems including SharePoint, SAP, APIs, and other internal platforms.

  • Collaborate with business stakeholders to gather requirements and translate them into technical solutions.

  • Support data modeling, data quality, and governance activities.

  • Troubleshoot production issues and implement performance improvements.

  • Participate in Agile development activities, including sprint planning, backlog grooming, testing, and deployment.

  • Create technical documentation, deployment guides, and support materials.


Required Qualifications:


  • 3-5 years of experience in Python development.

  • 2+ years of experience building applications using Streamlit.

  • Experience with SQL and database design concepts.

  • Experience developing ETL/ELT processes and data pipelines.

  • Knowledge of data engineering best practices, data quality controls, and data integration patterns.

  • Experience working with REST APIs and external data sources.

  • Experience using Git, version control, and CI/CD practices.

  • Strong analytical, problem-solving, and communication skills.


Preferred Qualifications:


  • Experience with Snowpark for Python.

  • Experience with Airflow, orchestration tools, or automated deployment pipelines.

  • Experience working with cloud platforms (AWS, Azure, or GCP).

  • Experience integrating with SAP, SharePoint, or enterprise asset management applications.

  • Experience working with Asset Management, Utility Operations, Engineering, or Energy industry business processes.

  • Familiarity with Power BI, Plotly, Pandas, and data visualization technologies.

  • Understanding of data governance, master data management, and application security concepts.

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