Data Engineer (Only W2)

Maxonic Inc.; Emeryville (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

Maxonic Inc. in Emeryville, CA seeks an experienced Databricks & Power BI Consultant to design, develop, and deliver cloud-based data and analytics solutions.

You will build scalable data pipelines, optimize data models, and develop interactive dashboards that enable strategic decision-making. You will collaborate with business stakeholders, data engineers, architects, and application teams to transform raw data into reliable insights while leveraging Azure cloud technologies and enterprise data

Qualifications

• 5+ years BI/Data Engineering experience.
• Hands‑on experience with Databricks, PySpark, SQL, and Power BI.
• Strong knowledge of DAX, Power Query, Azure Data Factory, and ADLS.

Responsibilities

• Design, develop and deliver cloud-based data and analytics solutions.
• Collaborate with stakeholders and engineers to transform raw data into actionable insights.

Skills

Databricks

PySpark

SQL

Power BI

DAX

Power Query

Azure Data Factory

ADLS

Git

Azure DevOps

Analytical & communication

Tools

Git

Azure DevOps

Azure Data Factory

Power BI Service

Job description

We are seeking an experienced Databricks & Power BI Consultant to design, develop, and deliver modern cloud-based data and analytics solutions. The ideal candidate will have strong expertise in Azure Databricks, PySpark, SQL, and Power BI, with hands‑on experience building scalable data pipelines, optimizing data models, and developing interactive dashboards that enable business decision‑making.

This role requires close collaboration with business stakeholders, data engineers, architects, and application teams to transform raw data into reliable, actionable insights while leveraging Azure cloud technologies and enterprise data engineering best practices.

Required Skills:

• 5+ years of BI/Data Engineering experience.
• Hands‑on experience with Databricks, PySpark, SQL, and Power BI.
• Strong knowledge of DAX, Power Query, Azure Data Factory, and ADLS.
• Experience with data warehousing, Git, and Azure DevOps.
• Excellent analytical and communication skills.