Remote - Data Engineering Analyst

About World Business Lenders: World Business Lenders (WBL) offers short-term, real estate-backed commercial loans to a diverse range of small and medium-sized businesses across the United States. We are seeking two Data Analysts: one specializing in data engineering & migration, and another focused on data pipeline & automation. Candidates with strengths in either area are encouraged to apply.

Work Schedule: Typically 9:00 AM to 6:00 PM Eastern Time, Monday through Friday. Strong communication skills in English (spoken and written) are required.

Key Responsibilities

• Data Pipelines & Automation: Improve data pipelines with quality checks to ensure data accuracy, consistency, and reliability throughout the entire data processing workflow, reducing manual intervention and minimizing errors.
• Data Migration: Migrate legacy systems to new systems, involving thorough analysis, seamless data transfer, and integration to enhance system performance and maintain continuity.

Required Education & Experience

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field is preferred (equivalent hands-on experience is highly valued).
• 4 to 7 years of experience as a Data Engineer with practical, hands-on expertise.

Core Requirements

• 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 and working with reporting data warehouses.
• Experience using Git/GitHub for version control in collaborative environments.
• Migration-focused role: Hands-on experience with schema mapping, data reconciliation, backfills, historical data handling, and cutover planning.
• Automation-focused role: Experience building and maintaining automated data pipelines, including scheduling, orchestration, workflow reliability, and monitoring.

Preferred Qualifications

• Experience within Microsoft Fabric or broader Microsoft Azure data ecosystem.
• Experience with orchestration tools such as Apache Airflow, Azure Data Factory, or Fabric pipelines.
• Experience with data quality frameworks, alerting, SLAs, and monitoring.
• Experience optimizing performance (Query tuning, partitioning, indexing) and familiarity with modern data formats (Parquet, Delta).
• Experience integrating with external systems (REST APIs) and CI/CD practices for data workflows.

Key Soft Skills

• Clear communication, ownership, and an independent problem-solving mindset.
• Adaptability and effective collaboration across engineering, analytics, and business teams.

Benefits

• USD Base Salary.
• Enjoy Paid Time Off (PTO) after just 6 months of service.
• Full-time opportunity with the freedom of a completely remote work environment.