Chicago, IllinoisHybridDirect Hire$140k - $165k
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 & Experience6+ 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/monitoringDesired Skills & ExperienceAzure 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 CodeWhat 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 improvementsThe OfferBonus eligible
You will receive the following benefits: Medical, Dental, and Vision Insurance Vacation TimeStock Options
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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 & Experience6+ 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/monitoringDesired Skills & ExperienceAzure 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 CodeWhat 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 improvementsThe OfferBonus eligible
You will receive the following benefits: Medical, Dental, and Vision Insurance Vacation TimeStock Options
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Senior Data Engineer / Databricks / End-to-End Ownerhp in chicago at Unknown Company
This position is listed as full time and hybrid.