Data Engineer

About the Opportunity

We are seeking a Data Engineer to join a growing organization and help support the continued expansion of its enterprise data platform. This role will focus on building, maintaining, and optimizing data pipelines that deliver reliable, high-quality data for reporting, analytics, and operational decision-making.

The ideal candidate enjoys solving data challenges, improving data flow processes, and ensuring the integrity of information moving across multiple systems. This is a hands-on engineering role where you’ll have the opportunity to make a meaningful impact on both the data architecture and the business users who rely on it.

• Develop, maintain, and enhance ETL/ELT data pipelines
• Write and optimize SQL queries for transformation, validation, and analysis
• Build and maintain transformation layers that support scalable and reusable data models
• Create and manage source definitions, dependencies, testing frameworks, and documentation for data assets
• Monitor data pipelines and troubleshoot ingestion, performance, and quality issues
• Investigate root causes of data discrepancies, schema changes, and integration failures
• Perform data validation and quality assurance to ensure accuracy and completeness
• Support the onboarding and integration of new source systems into the enterprise data platform
• Collaborate with technical and business stakeholders to deliver reliable data solutions
• Identify opportunities to improve data architecture, performance, and scalability
• Contribute to standards, best practices, and documentation across the data environment

• Strong SQL development skills with experience writing complex queries and transformations
• Hands‑on experience building, maintaining, and troubleshooting ETL/ELT pipelines
• Experience working with modern data transformation frameworks, including:
• Source management
• Layered data modeling approaches
• Dependency management and lineage tracking
• Documentation and metadata management
• Automated testing and data quality validation
• Experience with cloud‑based data warehouse technologies
• Strong understanding of data ingestion, integration, and transformation processes
• Experience identifying and resolving data pipeline failures and performance issues
• Strong analytical and problem‑solving abilities
• Experience validating and quality‑checking large datasets
• Ability to work independently and collaboratively within a fast‑paced environment

• Experience with reporting and analytics environments
• Experience supporting operational or financial data platforms
• Familiarity with Power BI or other business intelligence tools
• Experience integrating data from multiple internal and third‑party systems
• Knowledge of cloud‑based data engineering best practices
• Experience working in rapidly growing or evolving organizations
• Exposure to data governance, auditing, or compliance‑focused initiatives
• Opportunity to work with modern cloud data technologies
• Collaborative and highly visible team environment
• Strong growth and advancement potential

This role is ideal for a data engineer who enjoys working on data ingestion, transformation, data quality, and pipeline reliability while helping build a scalable foundation for analytics and business decision‑making.