Remote – Data Engineering Analyst

World Business Lenders (WBL) is seeking a Data Engineering Analyst to improve data pipelines through automation, migration of legacy systems, and integration to enhance system performance. The ideal candidate has strong communication skills, a strong background in data engineering, and experience with cloud-based data platforms and environments.

Requirements

• Improved data pipelines via automation with quality checks to ensure data accuracy, consistency, and reliability
• Migration of legacy systems to new systems, involving thorough analysis, seamless data transfer, and integration
• Experience working with cloud-based data platforms and environments
• Strong SQL skills with data modeling experience for data warehouses
• Strong Python skills (especially notebooks) for building and maintaining data workflows
• Experience developing and maintaining ETL/ELT processes
• Experience working with data warehouses used by reporting/business teams
• Experience using Git/GitHub for version control in collaborative environments
• Understanding of data engineering best practices: pipeline orchestration and dependency management, data quality, validation, and monitoring fundamentals
• Experience with orchestration tools such as Apache Airflow, Azure Data Factory, or Fabric pipelines
• Experience with data quality and observability practices: validation frameworks, alerting, SLAs, monitoring
• Experience optimizing performance in data environments: query tuning, partitioning, indexing, cost optimization
• Familiarity with modern data formats and large-scale processing: Parquet, Delta, incremental processing patterns
• Experience integrating with external systems: REST APIs, authentication, retries, error handling
• Exposure to CI/CD practices for data workflows: Git-based deployments, PR workflows, environment promotion

Benefits

• Paid Time Off (PTO) after just 6 months of service
• Full-time opportunity
• Completely remote work environment

Tagged as: Python, SQL