Senior Data & Analytics Engineer: Power BI & AI-Ready Data

Carter Machinery, Inc.

Mechanicsville (VA)

On-site

USD 120,000 - 145,000

Full time

10 days ago

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Benefits offered by this job

Health insurance
401(k) match
Paid time off
Tuition reimbursement

Job summary

Carter Machinery seeks a Senior Data and Analytics Engineer to lead cross-functional data initiatives in Richmond, VA. You will translate business needs into analytics solutions, design powerful Power BI dashboards, and manage data modeling across Snowflake and Microsoft Fabric.

The role emphasizes ownership from requirements through deployment, collaboration with stakeholders, and ensuring data accuracy and performance. Expect growth with a stable, values-driven employer.

Qualifications

  • Eight or more years of data and analytics experience.
  • Hands-on with SQL, Power BI, DAX, semantic models, and cloud data platforms.
  • Experience with Microsoft Fabric and Snowflake preferred; Python knowledge a plus.
  • Experience owning delivery from requirements to adoption with AI data practices.

Responsibilities

  • Translate business needs into prioritized reporting and analytics solutions.
  • Design and optimize Power BI reports, dashboards, and data models.
  • Build reusable SQL datasets and transformations on cloud platforms like Snowflake.

Skills

SQL
Power BI
DAX
Semantic models
Cloud data platforms
Python (preferred)
Delivery ownership
GAAP/BI knowledge
Data governance

Education

Bachelor’s degree in Computer Science / Information Systems / Engineering / Analytics

Tools

Snowflake
Microsoft Fabric
Tableau to Power BI migration
SQL datasets / views

Job description

Carter Machinery seeks a Senior Data and Analytics Engineer to lead cross-functional data initiatives in Richmond, VA. You will translate business needs into analytics solutions, design powerful Power BI dashboards, and manage data modeling across Snowflake and Microsoft Fabric.

The role emphasizes ownership from requirements through deployment, collaboration with stakeholders, and ensuring data accuracy and performance. Expect growth with a stable, values-driven employer.

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