Data Engineer

PRIMARY FUNCTION

The Data Engineer is responsible for implementing reliable, scalable data pipelines that support enterprise-wide data needs. This role requires expertise in data analysis, data modeling, and the design of ELT pipelines that enable efficient data integration and analytics.

The Data Engineer collaborates with data analysts, data scientists, product managers, and business stakeholders to gather requirements and deliver scalable data solutions. This role is responsible for designing, developing, and maintaining data pipelines, supporting data modeling and transformation efforts, and ensuring the reliability, quality, and performance of data assets. The Data Engineer is expected to communicate technical concepts effectively and contribute to data engineering best practices across the organization.

ESSENTIAL DUTIES AND RESPONSIBILITIES

This list may not include all of the duties that may be assigned.

• Design, build, and maintain scalable, reliable ELT/ETL pipelines using modern data engineering tools and frameworks.
• Develop and maintain data models, schemas, and data structures to support analytical and operational reporting needs.
• Create and maintain logical and physical data models following established data modeling standards and best practices.
• Collaborate with cross-functional teams to understand business requirements and deliver high-quality data solutions.
• Participate in technical discussions, solution design, and implementation activities across data engineering projects.
• Implement and maintain data quality checks, validation rules, and monitoring processes to ensure data accuracy, consistency, completeness, and reliability.
• Develop efficient, well-structured SQL queries and data transformation logic to support analytics, reporting, and operational processes.
• Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and cost efficiency.
• Ensure compliance with data security, governance,...