Data Engineer II

McLane Company, Inc.; Temple (TX); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Day 1 Benefits: medical, dental, and V

Paid time off day one

401(k) Profit Sharing

Pet insurance

Maternity/paternity leave

Employee assistance programs

Discount programs

Tuition reimbursement

Job summary

McLane Company, Inc. is seeking a Data Engineer II to design, build, and optimize scalable data solutions supporting analytics, reporting, and BI initiatives. This hybrid role requires reporting to the Temple, TX office at least three days per week.

The ideal candidate has 3–5 years in data engineering, strong SQL and Python skills, and experience with cloud data platforms (Azure/GCP). You will join a data-driven team supporting enterprise data initiatives across the organization.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.
• 3-5 years of progressive experience in data engineering, data integration, or related technical roles.
• Strong experience with SQL, Python, and modern data engineering frameworks and tools.
• Experience developing and maintaining large-scale data pipelines and data integration solutions.
• Knowledge of data warehousing, data modeling, ETL/ELT processes, and database design principles.
• Experience with cloud data platforms and services in Azure and/or GCP.
• Experience with DataOps practices, CI/CD pipelines, workflow orchestration, and automated testing.
• Experience working with big data technologies, distributed processing frameworks, or cloud-native data architectures is preferred.
• Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions.
• Excellent communication and collaboration skills with both technical and non-technical stakeholders.
• This position requires the ability to read, write, and understand English at a level sufficient to perform job‑related tasks effectively and safely.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes to support enterprise data initiatives.
• Build and optimize data integrations from multiple internal and external sources, ensuring data quality, integrity, and reliability.
• Develop and manage data models, data warehouses, and data lakes that support reporting, analytics, and operational workloads.
• Implement data engineering best practices, including automation, monitoring, testing, and performance optimization.
• Work with cloud-based data platforms and services in Azure and/or GCP environments.
• Support DataOps practices, including CI/CD pipelines, orchestration, and infrastructure automation.
• Partner with data analysts, data scientists, business stakeholders, and application teams to understand requirements and deliver scalable data solutions.
• Troubleshoot and resolve data issues while ensuring compliance with data governance and security standards.
• Document processes, architectures, and technical solutions to support maintainability and knowledge sharing.

Skills

SQL

Python

Data pipelines

ETL/ELT

Cloud platforms

Education

Bachelor's degree

Tools

Azure

GCP

Job description

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.

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 looking for a skilled Data Engineer II to design, build, and optimize scalable data solutions that support analytics, reporting, and advanced business intelligence initiatives. This role combines strong technical expertise in data engineering with a passion for delivering reliable, efficient, and high-quality data platforms that enable data-driven decision-making across the organization. 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 of Temple, TX.

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!

What You’ll Do

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes to support enterprise data initiatives.
• Build and optimize data integrations from multiple internal and external sources, ensuring data quality, integrity, and reliability.
• Develop and manage data models, data warehouses, and data lakes that support reporting, analytics, and operational workloads.
• Implement data engineering best practices, including automation, monitoring, testing, and performance optimization.
• Work with cloud-based data platforms and services in Azure and/or GCP environments.
• Support DataOps practices, including CI/CD pipelines, orchestration, and infrastructure automation.
• Partner with data analysts, data scientists, business stakeholders, and application teams to understand requirements and deliver scalable data solutions.
• Troubleshoot and resolve data issues while ensuring compliance with data governance and security standards.
• Document processes, architectures, and technical solutions to support maintainability and knowledge sharing.

What We’re Looking For

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.
• 3-5 years of progressive experience in data engineering, data integration, or related technical roles.
• Strong experience with SQL, Python, and modern data engineering frameworks and tools.
• Experience developing and maintaining large-scale data pipelines and data integration solutions.
• Knowledge of data warehousing, data modeling, ETL/ELT processes, and database design principles.
• Experience with cloud data platforms and services in Azure and/or GCP.
• Experience with DataOps practices, CI/CD pipelines, workflow orchestration, and automated testing.
• Experience working with big data technologies, distributed processing frameworks, or cloud-native data architectures is preferred.
• Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions.
• Excellent communication and collaboration skills with both technical and non-technical stakeholders.
• 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.

Our roadmap. Our story.

We’ve been forging our path as a leader in the distribution industry since 1894. Building an expansive nationwide network of team members for 130+ years has allowed us to stay agile for our clients across the restaurant, retail, and e-commerce industries. We look to the future and are ready to continue making industry-defining moves by embracing the newest technology into our practices, continuing team member training, and emphasizing our people-centered culture.

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/

Primary Location

United States-Texas-Temple

Work Locations

31st Street Temple TX

Business Unit

IS970

Job

Information Technology

Schedule

Full-time

Shift

1st - Day

Employee Status

Regular