Senior Data Engineer / Databricks / End-to-End Ownerhp

Chicago, IL, US • Posted 1 day ago • Updated 3 hours ago
Full Time
On-site
$140000 - $165000/yr
Fitment

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Job Details

Skills

  • Professional Services
  • Recruiting
  • Analytics
  • Reporting
  • Data Engineering
  • Data Processing
  • Cloud Computing
  • Data Storage
  • Storage
  • Data Modeling
  • Git
  • Unity
  • Workflow
  • Streaming
  • Change Data Capture
  • Use Cases
  • Microsoft Azure
  • Databricks
  • Apache Spark
  • Python
  • SQL
  • Continuous Integration
  • Continuous Delivery
  • Testing
  • Optimization
  • Collaboration
  • Business Intelligence
  • Artificial Intelligence
  • Documentation
  • Insurance
  • SAP BASIS

Summary

A well-established, global professional services organization is expanding its Data & AI engineering team and hiring a Data Engineer to support a large-scale cloud data platform initiative. This role is based in Chicago and focuses on building modern data pipelines using Azure Databricks, Python, SQL, and Spark in a production environment.

This is a hands-on engineering opportunity for someone who enjoys owning data pipelines end-to-end and wants exposure to enterprise-scale data challenges. You'll work alongside experienced engineers and business partners to turn raw data into trusted, analytics-ready datasets that power reporting, insights, and AI use cases.

This team is early in its Databricks journey, which means your work will matter immediately. You'll help shape how pipelines are built, how data is governed, and how the platform evolves over time. It's ideal for a strong mid-level engineer who wants to deepen their Databricks expertise while working on a highly visible, long-term transformation initiative.

Required Skills & Experience
  • 6+ years of hands-on data engineering experience
  • Strong experience building pipelines using Databricks
  • Proficiency in Python and SQL for production data processing
  • Working knowledge of Apache Spark and Delta Lake
  • Experience with cloud data storage (ADLS, object storage)
  • Experience with data modeling and schema design
  • Familiarity with Git, CI/CD concepts, and basic testing/monitoring
Desired Skills & Experience
  • Azure Databricks in an enterprise environment
  • Experience with Unity Catalog and Databricks Jobs/Workflows
  • Exposure to streaming or CDC pipelines
  • Experience supporting BI or AI use cases
  • Familiarity with Infrastructure as Code
What You Will Be Doing
Tech Breakdown
  • 70% Azure Databricks / Spark / Delta Lake
  • 20% Python & SQL development
  • 10% CI/CD, testing, and optimization

Daily Responsibilities
  • 80% Hands-On Engineering
  • 10% Collaboration with BI, AI, and product teams
  • 10% Documentation, reviews, and platform improvements

The Offer
  • Bonus eligible
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: 876474
  • Posted 1 day ago
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