Data Engineer Associate

Overview

The Associate Data Engineer reports to the Data Engineering Lead and supports the development and ongoing operation of enterprise data integrations and pipelines across Gallagher. This role partners with data engineers, data scientists, analysts, and application teams to deliver reliable, secure, and well‑documented data solutions that enable analytics and product initiatives.

This is a Temp‑To‑Hire, W‑2 position. It is fully remote and must be based in the U.S. Candidates must meet U.S. eligibility requirements for work authorization.

• Develop integration workflows to ensure solutions are built accurately and according to spec.
• Develop and maintain requirements, design documentation, and test plans.
• Seek out, design, and implement internal process improvements: automating manual processes and optimizing data delivery.
• Coordinate with BI engineers, financial application, and Oracle HR teams around data management, reconciliation, test data setup, etc.
• Develop and maintain data pipelines to ingest data from a wide variety of structured and unstructured sources into Snowflake.
• Construct and maintain enterprise‑level integrations using the Snowflake platform, Azure Synapse, Azure SQL, and SQL Server.
• Create data tools for data analytics and data science team members that assist them in building and optimizing products.
• Design analytics tools that utilize the data pipeline to deliver actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Assist with building semantic views and agents using Cortex AI Functions in Snowflake to support deep learning and interactive user queries.
• Troubleshoot issues, help drive root‑cause analysis, and work with infrastructure teams to resolve incidents and arrive at a permanent resolution.
• Partner with data and analytics teams to strive for greater functionality in our data systems.
• Coordinate development and support with globally located resources.
• Understand the layout and operation of existing integrations that send and receive data between Oracle, Concur, JDE, Corporate Data Platform, and other systems.

• A relevant technical BS Degree with 2+ years of experience or a Master’s Degree in Information Technology, Data Science, Computer Engineering or related fields.
• 1+ years of writing SQL queries against any RDBMS with query optimization.
• 1+ years of experience leveraging technologies such as Snowflake, Azure Data Factory, and SQL Server.
• Strong experience with Python, Java, and XML.
• Familiarity with structuring a data lake for reliability, security, and performance.
• Familiarity with Medallion architecture, AI frameworks, AI data readiness, and machine learning algorithms.
• Skills to read and write effective, modular, dynamic, parameterized, and robust code, and establish and follow established code standards.
• Strong analytical, problem‑solving, and troubleshooting abilities.
• Good understanding of unit testing, software change management, and software release management.
• Knowledge of Dev‑Ops, ML‑Ops and AI‑Ops processes.
• Experience performing root cause analysis on data and processes to answer specific business questions and identify opportunities for improvement.
• Experience working within an agile team is preferred.
• Excellent communication skills.

We offer a competitive and comprehensive compensation package. The base salary range represents the anticipated low end and high end of the range for this position. The actual compensation will be influenced by a wide range of factors including previous experience, education, pay market/geography, complexity or scope, specialized skill set, practice area, supply/demand, and scheduled hours.

Below are the minimum core benefits you’ll receive, depending on your job level these benefits may improve.

• Medical/dental/vision plans, which start from day one.
• Life and accident insurance.
• 401(K) and Roth options.
• Tax‑advantaged accounts (HSA, FSA).
• Educational expense reimbursement.
• Paid parental leave.

Other benefits include:

• Digital mental health services (Talkspace).
• Flexible work hours (availability varies by office and job function).
• Train…