Data Engineer II — Hybrid Cloud Pipelines & BI

Talentify; Temple (TX); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical/Dental/Vision from Day 1

PTO from Day 1

Pet insurance

Maternity/Paternity leave

Employee assistance programs

Discount programs

Tuition reimbursement

Job summary

McLane is seeking a Data Engineer II to design, build, and optimize scalable data solutions supporting analytics and BI initiatives. The role requires strong data engineering skills, experience with SQL and Python, and collaboration across teams.

This hybrid position requires reporting to the Temple, TX office at least three days per week. The candidate should have a Bachelor's in a related field and 3–5 years of data engineering experience, with cloud experience in Azure and/or GCP, and a focus

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field
• 3-5 years of progressive experience in data engineering or related roles
• Strong experience with SQL, Python, and modern data engineering frameworks

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes
• Build and optimize data integrations from multiple sources
• Develop and manage data models, warehouses, and data lakes
• Implement data engineering best practices including automation, monitoring, testing
• Work with Azure and/or GCP cloud platforms
• Support DataOps practices including CI/CD and orchestration
• Collaborate with analysts, scientists, and stakeholders to deliver scalable solutions
• Troubleshoot data issues and ensure governance and security standards

Skills

SQL

Python

Data pipelines

ETL/ELT

Cloud platforms

Education

Bachelor's degree in CS/IS/related

Tools

Azure

GCP

Job description

McLane is seeking a Data Engineer II to design, build, and optimize scalable data solutions supporting analytics and BI initiatives. The role requires strong data engineering skills, experience with SQL and Python, and collaboration across teams.

This hybrid position requires reporting to the Temple, TX office at least three days per week. The candidate should have a Bachelor's in a related field and 3–5 years of data engineering experience, with cloud experience in Azure and/or GCP, and a focus