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. Responsibilities 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 Required Qualifications 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 Preferred Qualifications 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. #J-18808-Ljbffr