Data Engineer - Snowflake
Chicago, Illinois
Open to Remote
Direct Hire
$130k - $150k
This is a full-time Data Engineer role based in the United States, supporting a leading plaintiffs’ law firm handling large-scale litigation and public-enforcement cases. You’ll work with Snowflake, Azure, Sigma, and modern ETL/ELT pipelines to build and maintain scalable data systems that support high-impact legal work.
The core appeal is real-world impact at scale. They’re looking for a hands-on data engineer who enjoys owning data pipelines, improving cloud architecture, and collaborating across teams. You’ll work on meaningful problems, grow your technical skill set, and have a clear line of sight between your work and outcomes that actually matter.
Required Skills & Experience
Tech Breakdown
The Offer
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
The core appeal is real-world impact at scale. They’re looking for a hands-on data engineer who enjoys owning data pipelines, improving cloud architecture, and collaborating across teams. You’ll work on meaningful problems, grow your technical skill set, and have a clear line of sight between your work and outcomes that actually matter.
Required Skills & Experience
- Build and maintain scalable data architectures, warehouses, and processing systems
- Design and optimize ETL/ELT pipelines using Snowflake and Azure
- Own Snowflake data modeling, performance tuning, and optimization
- Automate data ingestion, processing, and analytics workflows
- Enforce data governance, quality, and security standards
- Snowflake, Databricks, or similar technical experience
- Experience with data warehousing
- Proficiency in SQL, ETL design and data modeling
- Experience with Salesforce data ingestion preferred
Tech Breakdown
- 50% Design
- 25% Maintenance
- 25% Installation
- 100% Hands On
The Offer
- $130K - $150K/yr
- Bonus eligible
- Medical, Dental, and Vision Insurance
- PTO
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.