[Hiring] Data Engineering Analyst @World Business Lenders, LLC

Role Description

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.

• Improved data pipelines (via automation) with quality checks to ensure data accuracy, consistency, and reliability throughout the entire data processing workflow, reducing manual intervention and minimizing errors.
• Migration of legacy systems to new systems, involving thorough analysis, seamless data transfer, and integration to enhance system performance and maintain continuity without disrupting existing operations.

Qualifications

• A Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field is preferred — but we also highly value equivalent hands-on experience!
• 4 to 7 years of experience as a Data Engineer.
• 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.

Requirements

• Understanding of data engineering best practices:
• Pipeline orchestration and dependency management.
• Data quality, validation, and monitoring fundamentals.
• Required for migration-focused role:
• Hands-on data migration experience:
• Schema mapping and transformation.
• Data reconciliation and validation (must be strong here).
• Data quality checks, integrity validation, and issue resolution.
• Backfills and historical data handling.
• Cutover planning and execution.
• Required for automation-focused role:
• Experience building and maintaining automated data pipelines:
• Scheduling, orchestration, and failure handling.
• Workflow reliability, monitoring, and repeatability.

Benefits

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

Key Soft Skills

• Clear communication: can explain data issues, tradeoffs, and results to both technical and business stakeholders.
• Ownership & accountability: takes end-to-end responsibility for pipelines, data quality, and outcomes.
• Problem-solving mindset: able to debug complex data issues and work through ambiguity independently.
• Collaboration: works effectively across engineering, analytics, and business teams.
• Adaptability: comfortable operating in evolving environments (migration, changing requirements, new tools).

Technical Skills

• Proficiency in SQL, Python, cloud technologies, and data competency.