Data Integration and Governance Analyst

World Business Lenders, LLC.; United States; Remote; USD 83,000 - 152,000; Part time

Benefits offered by this job

Fully remote work

Paid time off

USD compensation

Job summary

World Business Lenders, LLC is seeking a Data Engineer contractor for a fully remote role in the United States. You will improve data pipelines, migrate legacy systems, and build scalable data workflows using SQL, Python, and cloud platforms.

The position requires 4–7 years of data engineering experience, a bachelor’s degree or equivalent, and strong data quality practices. Applicants should submit an English CV and demonstrate collaboration with analytics and business teams.

Qualifications

• 4–7 years of experience as a Data Engineer.
• Bachelor’s degree in CS, engineering, information systems, or related field (or equivalent hands-on experience).
• Experience with cloud data platforms, SQL data modeling, and data warehouses.
• Strong Python skills and Git/GitHub experience.
• ETL/ELT development and data quality monitoring.

Responsibilities

• Improve data pipelines with automation and quality checks.
• Migrate legacy systems with thorough analysis and data transfer.
• Collaborate with analytics and business teams on data requirements.

Skills

SQL

Python

Cloud platforms

Data warehousing

ETL/ELT

Git/GitHub

Education

Bachelor's degree

Tools

Microsoft Fabric/Azure

Airflow/Azure Data Factory

Job description

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 from9:00 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.

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.

What We Offer

Compensation in USD.

Benefits include paid time off (PTO).

Work Environment: Fully remote work environment.