Sr. Data Engineer

• 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

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., * 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.

Pulled from the full job description

• Tuition reimbursement
• Pet insurance
• Parental leave
• 401(k)
• Health insurance
• Paid time off
• Employee discount, * Work on complex, high impact data solutions at enterprise scale
• Collaborate with talented, cross functional teams
• Influence data architecture and analytics that drive business decisions
• Join a culture that values technical excellence, ownership, and continuous improvement

Benefits you can count on:

• Day 1 Benefits: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance
• Paid time off begins day one.
• 401(k) Profit Sharing Plan after 90 days.
• Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more!

Candidates may be subject to a background check and drug screen, in accordance with applicable laws. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. For our complete EEO and Pay Transparency statement, please visit https://www.mclaneco.com/legal/employment