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# Data Engineer

- **Company:** HighTower Advisors
- **Location:** Chicago, IL, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $140,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Code Review, Databases, Github, Python (Programming Language), Operational Data Store, Software Engineering, SQL Databases, Data Processing, Snowflake, Git, Information Technology, Data Management, Data Pipelines, Mulesoft
- **Published:** August 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b77a5549660302f4

## About the Role

* A bachelor's degree in information technology, data, artificial intelligence, or a related field.
 * 2-4 years of experience building and operating data pipelines in a professional environment.
 * Proficiency in Python, SQL, Snowflake, dbt, and Mulesoft.
 * A curiosity-driven, self-directed approach - comfortable digging into unfamiliar systems and figuring things out without hand-holding.
 * Strong collaboration skills with non-engineers, including analysts, data scientists, and business stakeholders.
 * A sharp attention to detail and a data accuracy mindset - you treat correctness as a first-class concern.

## Description

The Associate, Data Engineer, reporting to the Managing Director, Software Engineering, builds and maintains the data pipelines and infrastructure that power business operations, analytics, and decision-making across Hightower. A Data Engineer builds or maintains data management systems, such as databases and data pipelines, that enable the company to access, store, and process data effectively to support decision-making and run the business. You will work closely with data scientists, analysts, and engineers across the firm to deliver reliable, well-modeled data into Snowflake and our operational data stores.

What You'll Do

 * Build and maintain Snowflake and RDS data pipelines using Python, dbt, Mulesoft, Git, and GitHub Actions.
 * Partner with data scientists and analysts to model data in Snowflake, ensuring datasets are well-structured, documented, and ready for analytics and regulatory reporting.
 * Provide on-call and production support for pipeline failures, diagnosing issues and driving them to resolution with appropriate urgency.
 * Continuously improve data quality, reliability, and performance across the platform, identifying and addressing root causes rather than symptoms.
 * Collaborate across departments to understand business requirements and translate them into durable, maintainable engineering solutions.
 * Participate in code reviews, testing, and documentation of data workflows


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