Data Engineer II
Quick Summary
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.
What We Offer
~1 min readResponsibilities
~1 min read- →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.
- 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/
Location & Eligibility
Listing Details
- First seen
- September 26, 2026
- Last seen
- September 27, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- September 27, 2026
Signal breakdown
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