Data Integration and Governance Analyst

World-Business-Lenders,-LL; Buenos Aires; Remote; ARS 136,254,000 - 211,951,000; Full time

Benefits offered by this job

PTO

Fully remote

Job summary

World Business Lenders (WBL) is seeking a Data Engineer for a contract/consultant role to strengthen data pipelines, migration efforts, and automation across cloud platforms.

You will collaborate with analytics and engineering teams, own data quality, and implement robust ETL/ELT processes using SQL, Python, and modern orchestration tools. This is a fully remote position with EST business hours.

Qualifications

• Bachelor's degree in CS, Engineering, IS or related field, or equivalent hands-on experience.
• 4–7 years as a Data Engineer with modern cloud data platforms.

Responsibilities

• Improved data pipelines with automation and quality checks across the data processing workflow.
• Migration of legacy systems to new platforms with thorough analysis and data transfer.

Skills

SQL

Python

Data pipelines

ETL/ELT

Data warehousing

Git/GitHub

Airflow

Azure Data Factory

Fabric

Parquet

API integration

Education

Bachelor's degree in Computer Science/Engineering/IS

Tools

Microsoft Fabric

Azure

GitHub

REST APIs

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.