Senior Analytics Engineer/ Fabric/ Dallas/ Hybrid

Dallas, TX, US • Posted 1 day ago • Updated 4 hours ago
Full Time
On-site
$130000 - $150000/yr
Fitment

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Job Details

Skills

  • SaaS
  • Manufacturing
  • Recruiting
  • Decision-making
  • Reporting
  • Use Cases
  • Data Engineering
  • Business Intelligence
  • Dashboard
  • Tableau
  • Dimensional Modeling
  • Semantics
  • KPI
  • Python
  • Analytics
  • Data Governance
  • Documentation
  • Microsoft
  • Microsoft Power BI
  • Snow Flake Schema
  • SQL
  • Data Modeling
  • Artificial Intelligence
  • Machine Learning (ML)
  • Strategic Planning
  • Collaboration
  • Insurance
  • SAP BASIS

Summary

A fast-growing, product-driven SaaS organization in the food & beverage manufacturing space is hiring a Senior Analytics Engineer to help build the next-generation analytics layer powering operational and executive decision-making. This Dallas-based hybrid role offers a collaborative, high-impact environment where you'll work closely with cross-functional teams while leveraging modern technologies such as Microsoft Fabric, Snowflake, Power BI, and AI-driven analytics tools.

This is a rare opportunity to own and shape an end-to-end analytics ecosystem from the ground up in a hybrid setting that balances in-office collaboration with flexibility. The team is looking for someone who thrives in building scalable data systems, enjoys working cross-functionally, and can turn ambiguous business questions into clear, impactful reporting solutions. You'll gain exposure to cutting-edge AI use cases, high-visibility projects, and a culture that emphasizes growth, and ownership.
Required Skills & Experience
7+ years in analytics engineering, data engineering, or BI
Microsoft Fabric and/or Snowflake
Advanced SQL skills
Experience building production-grade dashboards (Power BI, Tableau, etc.)
Strong data modeling experience (dimensional modeling, semantic layers, KPIs)
Building and maintaining data pipelines
Desired Skills & Experience
Python for data transformation or analysis
Experience with dbt or similar transformation frameworks
AI/ML concepts within analytics environments
Data governance, lineage, and documentation practices
Design clean data contracts between systems
What You Will Be Doing
Tech Breakdown
40% Microsoft Fabric (OneLake, Data Factory, Power BI)
30% Snowflake
20% SQL / Data Modeling / Pipelines
10% AI / ML Integration

Daily Responsibilities
70% Hands On
10% Strategic Planning / Architecture
20% Team Collaboration

You will receive the following benefits:
Medical, Dental, and Vision Insurance
Vacation Time
Stock Options

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10105282
  • Position Id: 880549
  • Posted 1 day ago
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