Lead Azure Data Engineer / AI-driven / Hybrid
Motion Recruitment, Chicago, IL, United States
A fast-growing, cloud-native technology company is seeking a Lead Data Engineer to join their data platform team. This is a full-time role (US-based) working with modern technologies including Databricks, Snowflake, dbt, Azure, and Tableau. The team builds large-scale data systems that support analytics, visualization, and AI-driven applications.
This opportunity stands out because it blends deep engineering with business-facing analytics. The team is looking for someone who not only architects' robust data pipelines but also understands how data is consumed through models, dashboards, and insights. You'll have ownership, influence, and the chance to shape how data is used across the organization.
Required Skills & Experience
6+ years of experience in data engineering or analytics engineering
Strong experience building scalable ETL/ELT pipelines
Advanced SQL and data modeling experience
Hands-on experience with Snowflake and/or Databricks
Experience creating analytics-ready datasets for BI tools
Ability to communicate data concepts to technical and non-technical partners
Desired Skills & Experience
Tableau dashboard development and optimization
Experience partnering with analytics, product, or business teams
Exposure to ML or AI-driven data workflows
Experience in cloud-native environments (Azure preferred)
What You Will Be Doing
Tech Breakdown
40% Data Engineering & Pipelines
25% Data Modeling & Analytics Enablement
20% Tableau Dashboarding & Visualization
15% Architecture, Optimization, and Best Practices
The Offer
Competitive salary ($150,000 - $220,000)
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Generous vacation time
Equity participation
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-CD1
Specialization :
Data Analyst
Data Engineering
This opportunity stands out because it blends deep engineering with business-facing analytics. The team is looking for someone who not only architects' robust data pipelines but also understands how data is consumed through models, dashboards, and insights. You'll have ownership, influence, and the chance to shape how data is used across the organization.
Required Skills & Experience
6+ years of experience in data engineering or analytics engineering
Strong experience building scalable ETL/ELT pipelines
Advanced SQL and data modeling experience
Hands-on experience with Snowflake and/or Databricks
Experience creating analytics-ready datasets for BI tools
Ability to communicate data concepts to technical and non-technical partners
Desired Skills & Experience
Tableau dashboard development and optimization
Experience partnering with analytics, product, or business teams
Exposure to ML or AI-driven data workflows
Experience in cloud-native environments (Azure preferred)
What You Will Be Doing
Tech Breakdown
40% Data Engineering & Pipelines
25% Data Modeling & Analytics Enablement
20% Tableau Dashboarding & Visualization
15% Architecture, Optimization, and Best Practices
The Offer
Competitive salary ($150,000 - $220,000)
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Generous vacation time
Equity participation
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-CD1
Specialization :
Data Analyst
Data Engineering