Hybrid Data Engineer II — Scalable Pipelines & BI

aa224; Temple (TX); Hybrid; USD 85,000 - 110,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

FSA/HSA

Life insurance

Paid time off

Job summary

McLane is seeking a Data Engineer II to design, build, and optimize scalable data pipelines and data platforms that support analytics and BI. The role requires 3–5 years in data engineering, strong SQL and Python, and experience with data warehousing and cloud services (Azure and/or GCP).

The position is hybrid, with in-office work at least three days per week near Temple, TX, and a focus on delivering reliable data solutions 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

Data integration

Cloud platforms

Data modeling

Data warehousing

DataOps

Communication

Education

Bachelor's degree

Tools

Azure

GCP

Job description

McLane is seeking a Data Engineer II to design, build, and optimize scalable data pipelines and data platforms that support analytics and BI. The role requires 3–5 years in data engineering, strong SQL and Python, and experience with data warehousing and cloud services (Azure and/or GCP).

The position is hybrid, with in-office work at least three days per week near Temple, TX, and a focus on delivering reliable data solutions across the organization.