Databricks & Power BI Engineer (W2 only)

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

Job summary

Maxonic Inc. is seeking an experienced Databricks & Power BI Consultant to design and deliver modern cloud-based data analytics solutions using Azure Databricks, PySpark, SQL, and Power BI.

You will partner with stakeholders and engineers to build scalable data pipelines and interactive dashboards enabling business decision-making. Ideal candidates will have strong analytics and communication skills, extensive experience with Databricks, PySpark, SQL, Power BI, and an in-depth understanding of

Qualifications

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

Responsibilities

• Design, develop and deliver cloud-based data and analytics solutions.
• Collaborate with business stakeholders, data engineers, architects and application teams.
• Transform raw data into reliable, actionable insights using Azure cloud technologies.

Skills

Databricks

PySpark

SQL

Power BI

DAX

Power Query

Azure Data Factory

ADLS

Data Warehousing

Git

Azure DevOps

Analytical Skills

Communication Skills

Tools

Git

Azure DevOps

Azure Data Factory

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.