# Remote - Data Engineering Analyst

> World Business Lenders, LLC · Medellín, Colombia (Remote) · Contract · Posted 2026-04-07

**Workplace:** remote

## Description

**About World Business Lenders** [**(www.wbl.com)**](https://wbl.com/about-us)  
  
World Business Lenders (WBL) is proud to offer short-term, real estate-backed commercial loans to a diverse range of small and medium-sized businesses across the United States, especially those who may find it challenging to secure traditional financing.

Typically, the work schedule is from 9:00am to 6:00pm Eastern Time, Monday through Friday, though there might be times when additional hours are needed to meet business demands.

**We’re looking for someone with strong communication skills in both English, both spoken and written.**

-   _**Please note that all resumes should be submitted in English.  
    **_

**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.**

**Key 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

**Required Education:**

-   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!  
    

**Required 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:**

**Required for both roles:**

-   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.

## 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!

## Apply

[Apply at World Business Lenders, LLC](https://apply.workable.com/commercial-lending/j/162B5C9EA0/apply)

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