Overview
- At World Business Lenders (WBL), we provide flexible, short-term commercial loans backed by real estate to help small and medium-sized businesses across the United States, particularly those facing difficulties with traditional financing.
- This position is a Contract/Consultant role with working hours typically from 9:00 am-6:00 pm Eastern Standard Time, Monday through Friday. Applicants should have an excellent command of the English language, both spoken and written.
We request that you submit your CV in English.
Job Duties and Responsibilities
- 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.
Requirements
Role Requirements
Education:
- A Bachelor’s degree Computer Science, Engineering, Information Systems, or a related field is preferred — but we also highly value equivalent hands-on experience.
Experience:
- 4 to 7 years of experience as a Data Engineer.
- We value practical, hands-on expertise that goes beyond just theoretical knowledge.
Required Background / Industry Experience
- 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
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
Preferred
- 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 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
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.
Work Requirements
- Must be available to work Monday–Friday, 9:00 AM – 6:00 PM Eastern Time.
- Must have a stable internet connection and professional remote working setup.
- Resume must be submitted in English to be considered.
Benefits
What We Offer
💰 Compensation in USD.
🏖️ Benefits include paid time off (PTO).
🌍 Work Environment: Fully remote work environment.
Ready to Apply?
If this sounds like you, we'd love to hear from you - submit your CV in English and hit Apply
Skills Required
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent hands-on experience
- 4 to 7 years of experience as a Data Engineer
- Experience with cloud-based data platforms and environments
- Strong SQL skills and 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 with data warehouses used by reporting and business teams
- Experience using Git/GitHub for version control in collaborative environments
- Understanding of pipeline orchestration, dependency management, data quality, validation, and monitoring
- Hands-on data migration experience, including schema mapping, transformation, reconciliation, validation, data quality checks, backfills, historical data handling, and cutover planning
- Experience building and maintaining automated data pipelines with scheduling, orchestration, failure handling, monitoring, and repeatability
- Experience with Microsoft Fabric or the Microsoft Azure data ecosystem
- Experience with Apache Airflow, Azure Data Factory, or Fabric pipelines
- Experience with data quality and observability practices, including validation frameworks, alerting, SLAs, and monitoring
- Experience optimizing data-environment performance through query tuning, partitioning, indexing, or cost optimization
- Familiarity with Parquet, Delta, and incremental processing patterns
- Experience integrating external systems through REST APIs, authentication, retries, and error handling
- Exposure to CI/CD practices for data workflows, including Git-based deployments, pull requests, and environment promotion
- Excellent spoken and written English communication
- Availability Monday through Friday, 9:00 AM to 6:00 PM Eastern Time
- Stable internet connection and professional remote working setup
- Resume submitted in English
What We Do
At World Business Lenders (WBL) Our motto, 'We Lend. You Grow' is simple, yet powerful. We make working capital available to eligible businesses for expansion and growth. WBL was founded by a seasoned team of entrepreneurs with strong track records of launching, financing and growing successful small businesses. We understand what businesses need in terms of working capital, and are well-aware of how little is actually available for small businesses in the current marketplace. WBL understands how additional working capital can help you navigate your business to maximum success. Our unique approach to lending makes your business the focal point for loan decisions. Instead of concentrating on personal assets and a business owner's credit score, we believe the history and financial performance of your business should outweigh all other factors in our decision making process. WBL bases each loan decision on your business’s ability to make affordable daily payments to satisfy the loan. While there are many challenges small business owners face, WBL believes access to working capital shouldn't be one of them. WBL's sole focus is making loans to small businesses. This is all we do! We Lend. You Grow.
