Lead Data Engineer - AI-Powered Analytics & Dashboards

Thomson Reuters

Eagan (MN)

Hybrid

USD 110,000 - 204,200

Full time

14 days+

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Benefits offered by this job

Hybrid work model
Flexible vacation
Mental health days
Tuition reimbursement
Employee Stock Purchase Plan

Job summary

Thomson Reuters is seeking a Lead Data Engineer to steer the design, development, and maintenance of sophisticated data pipelines and reporting solutions. You will leverage DBT, Snowflake, Claude.AI, SQL, Power BI, Tableau, Python, Excel, and PowerPoint to deliver actionable insights and AI-enhanced analytics.

You will partner with senior stakeholders to align reporting with strategic goals, guide data governance, and mentor the team while driving a roadmap of cutting-edge AI-enabled data

Qualifications

  • Bachelor’s degree in a technical field; Master’s is a plus.
  • 8+ years in data engineering or equivalent, leading BI projects.
  • Expert in DBT, Snowflake, SQL, Power BI, Tableau, Python, Excel, and PowerPoint.

Responsibilities

  • Lead data pipelines, dashboards, and analytics using DBT, SQL, Python, and BI tools.
  • Define complex reporting needs with senior stakeholders and deliver insights.
  • Incorporate AI/ML to drive predictive and prescriptive reporting.
  • Mentor team members and enforce data governance practices.
  • Present findings and strategic recommendations to executives.

Skills

DBT
SQL
Alteryx
Snowflake
Power BI
Tableau
Python
Excel
PowerPoint

Education

Bachelor's degree in Engineering/CS/Data Science/Statistics
Master's degree (strong plus)

Tools

Claude.AI
Copilot
LLMs

Job description

Thomson Reuters is seeking a Lead Data Engineer to steer the design, development, and maintenance of sophisticated data pipelines and reporting solutions. You will leverage DBT, Snowflake, Claude.AI, SQL, Power BI, Tableau, Python, Excel, and PowerPoint to deliver actionable insights and AI-enhanced analytics.

You will partner with senior stakeholders to align reporting with strategic goals, guide data governance, and mentor the team while driving a roadmap of cutting-edge AI-enabled data

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