Senior Analytics Engineer: Decision Intelligence & AI Pipelines

Dormont Manufacturing Co

Chicago (IL)

On-site

USD 95,000 - 105,000

Full time

14 days+

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Benefits offered by this job

Comprehensive medical, dental, and vision coverage
Paid Time Off
401(k) with employer match
Tuition reimbursement

Job summary

fairlife, LLC, a Chicago-based nutrition company, seeks a Senior Analytics Engineer to develop production-grade data products and lead AI-enabled decision workflows. The role involves building durable data assets and empowering teams in analytics engineering.

The candidate should have at least 6 years of experience, a Bachelor's degree in a technical field, and expertise in SQL and DevOps practices. Benefit offerings include comprehensive health coverage and significant paid time off.

Qualifications

  • 6+ years delivering analytics engineering or equivalent experience building production-grade data products.
  • Experience delivering AI-enabled analytics solutions with evaluation and safe deployment patterns.
  • Expert SQL and strong semantic modeling skills, including performance tuning.

Responsibilities

  • Build and own production-grade data products in Microsoft Fabric.
  • Develop governed semantic models enabling trusted self-serve decision intelligence.
  • Lead AI and decision intelligence enablement through training and playbooks.

Skills

Analytics engineering
AI-enabled analytics solutions
SQL expertise
CI/CD and DevOps for analytics
Python for automation

Education

Bachelor's degree in a technical field
Master's degree (preferred)

Tools

Microsoft Fabric
Power BI / Tabular
Azure DevOps

Job description

fairlife, LLC, a Chicago-based nutrition company, seeks a Senior Analytics Engineer to develop production-grade data products and lead AI-enabled decision workflows. The role involves building durable data assets and empowering teams in analytics engineering.

The candidate should have at least 6 years of experience, a Bachelor's degree in a technical field, and expertise in SQL and DevOps practices. Benefit offerings include comprehensive health coverage and significant paid time off.

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