Sr. Data Engineer

McLane•Temple, TX

2d•Hybrid

About The Position

Take your career further with McLane! McLane teammates, the driving force behind our success, are diverse professionals who work together seamlessly to keep our operations running smoothly. As a teammate, you will pair your dedication, expertise, and collaborative spirit with your fellow teammates to serve America’s most beloved brands. McLane leaders think long-term, act with purpose, and inspire high performance. They lead with accountability, communicate clearly, and drive results through collaboration, innovation, and continuous growth. They empower each teammate to learn from industry leaders, develop their skills, and build lasting connections nationwide. We’re seeking a highly skilled Senior Data Engineer who thrives on solving complex data challenges and building scalable, enterprise grade solutions. This role is ideal for a detail oriented, analytical professional with deep SQL expertise and experience supporting data warehouses, analytics platforms, and batch processing environments. This is a hybrid position which will require the candidate to report and work from the office at least three days a week. Therefore, interested candidates should be within a 50-minute radius from Temple, TX.

Requirements

Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience)
5+ years of experience as a Data Engineer or in a similar role
Advanced SQL expertise across DB2, Oracle, and SQL Server
Strong knowledge of Data Warehouse concepts (ETL, dimensional modeling, data marts, OLAP)
Proficiency with Linux shell scripting (bash, ksh, etc.)
Experience with Mainframe systems (JCL, datasets, utilities)
Hands on experience with IBM Cognos Analytics or similar BI tools
Strong analytical, problem solving, and collaboration skills
This position requires the ability to read, write, and understand English at a level sufficient to perform job-related tasks effectively and safely. This includes understanding work instructions, safety protocols, and communications essential to the role. The requirement is directly related to the nature of the job and ensures compliance with workplace safety and operational standards.

Responsibilities

Design, develop, and optimize SQL queries, stored procedures, and ETL workflows across DB2, Oracle, and SQL Server
Support and enhance enterprise Data Warehouse architectures, including dimensional modeling and ETL/ELT pipelines
Develop and maintain Linux shell scripts for automation and batch scheduling
Work with Mainframe datasets and utilities to extract and integrate data
Build and support datasets and data models for IBM Cognos Analytics reporting
Partner with analysts, data scientists, and business stakeholders to deliver high quality data solutions
Troubleshoot data quality issues, performance bottlenecks, and system failures